PROFIL CHERCHEUR :  PhD/ R1 : Chercheur premier cycle                   DOMAINE(S) DE RECHERCHE1 : Informatique PRINCIPAL SOUS-DOMAINE OU DISCIPLINES DE RECHERCHE1 : Médecine

DESCRIPTION DE L'EMPLOI/OFFRE  Contexte et positionnement L'homéostasie est le processus par lequel les organismes vivants maintiennent un équilibre interne stable nécessaire à leur survie et à leur fonctionnement optimal. Ce processus implique généralement des mécanismes de rétroaction qui détectent les écarts par rapport à un état cible et activent des réponses pour corriger ces écarts et ramener le système à un niveau stable. Les capacités d'homéostasie d'un individu sont utilisées pour soutenir la prise de décision médicale, telle que la stratification du risque périopératoire des patients lors d'une chirurgie du cancer du poumon.

Les capacités homéostatiques d'un individu peuvent être évaluées au moyen d'épreuves d'effort, qui constituent la méthode clinique traditionnelle pour évaluer l'état de santé des patients et la dynamique systémique globale. Une série de tests est conçue pour mesurer les caractéristiques représentatives des capacités homéostatiques de l'individu, une mesure importante étant la consommation maximale d'oxygène (VO2max). Ces mesures sont obtenues grâce à des tests fonctionnels de routine et à des séances d'exercices maximaux, visant à mettre l'organisme tout entier au défi d'évaluer les réponses physiologiques adaptatives. Lorsque la performance physique ou la capacité aérobie maximale est limitée pour un patient donné, le médecin doit identifier la fonction physiologique défaillante et fournir un mécanisme cohérent de défaillance du système analysant les données surveillées. Cependant, les médecins analysent toujours les données physiologiques collectées selon une approche univariée telle qu’elle s’est développée historiquement. Actuellement, dans la communauté des chercheurs, le corps humain est considéré comme un système physiologique complexe et dynamique. Récemment, le cadre de la physiologie des réseaux a été proposé, donnant un rôle central à l'homéostasie.

Pour élargir les connaissances théoriques et combler le fossé entre la recherche actuelle et la pratique médicale, le Laboratoire d'Epreuves à l'Effort des Hôpitaux Universitaires de Marseille a construit sa propre base de données d'activité composée de 2500 épreuves d'effort.

Objectifs Cette thèse vise à exploiter cet ensemble de données afin de fournir un cadre global de compréhension et d'interprétation des données multivariées générées lors des épreuves d'effort maximal afin d'améliorer le phénotypage de l'homéostasie des patients grâce à leurs capacités homéostatiques. 

Nous visons à développer une approche médicale et statistiquement cohérente pour identifier et quantifier les déterminants de la performance globale ainsi que la performance aérobie à partir de variables surveillées. Cela fournirait aux médecins des outils analytiques améliorés pour obtenir un phénotypage d'exercice des patients plus pertinent et plus précis. 

Le projet de thèse vise à aller plus loin et à fournir aux médecins un indicateur quantitatif d’aide à la décision. Il sera développé en se concentrant sur les interactions dynamiques entre les variables enregistrées. Ici, nous envisageons notamment d'adapter le cadre des réseaux physiologiques au cas mésoscopique et macroscopique des tests d'effort. Cela fournirait au médecin des informations cruciales sur les capacités homéostatiques des patients. 

Environnement de travail Le candidat recruté travaillera au LIS-lab et au C2VN, à Marseille. Ils auront accès au cluster informatique du LIS Lab.

En plus de l'équipe encadrante, le doctorant travaillera en étroite collaboration avec un jeune médecin hospitalier.

L'offre complète est disponible ici : 

https://www.lis-lab.fr/wp-content/uploads/2024/03/Sujet_these_homeostasie-2.pdf

TYPE DE CONTRAT :  TEMPORAIRE / STATUT DE L'EMPLOI :  TEMPS PLEIN / HEURES PAR SEMAINE   35  DATE LIMITE DE CANDIDATURE :  01/09/2024  DATE DE DEBUT ENVISAGEE : Septembre 2024 DURÉE ENVISAGÉE : 36 mois EMPLOI NON FINANCÉ PAR UN PROGRAMME-CADRE DE RECHERCHE DE L'UE

LIEU(S) DE TRAVAIL : Laboratoire d'Informatique et des Systèmes, LIS Lab,  Aix Marseille Université, Campus de Saint Jérôme, Bat. Polytech, 52 Av. Escadrille Normandie Niemen 13013  Marseille, France /  Centre de Recherche en Cardiovasculaire et Nutrition, Laboratoire C2VN , Aix-Marseille Université - Campus Santé Timone - Faculté de Médecine, 27 Bd Jean Moulin, 13005  Marseille, France

CE QUE NOUS PROPOSONS :  Un contrat doctoral de trois ans avec le salaire suivant : 

2024 : 2 100 € par mois HT 

2025 : 2 200 € par mois HT

À partir de 2026 : 2 300 € par mois HT 

Informations complémentaires : Le Centre Euraxess d'Aix-Marseille Université informe les professeurs, chercheurs, postdoctorants et doctorants étrangers invités sur les démarches administratives à accomplir avant leur arrivée à AMU et les différentes formalités pratiques à accomplir une fois en France : visas et conditions d'entrée. , assurances, aide à la recherche d'un logement, accompagnement à l'ouverture d'un compte bancaire, etc. Plus d'informations sur  le portail AMU EURAXESS

QUALIFICATIONS, DOMAINES DE RECHERCHE REQUIS, NIVEAU D'ÉDUCATION REQUIS, COMPÉTENCES PROFESSIONNELLES, AUTRES EXIGENCES DE RECHERCHE (années d'expérience en recherche  (max. 3000 caractères)  Nous recherchons un candidat titulaire d'un diplôme de niveau Master dans l'un des domaines suivants :

• Théorie des systèmes et du contrôle
• Traitement du signal/image/graphique
• L'informatique
• Apprentissage automatique/Intelligence artificielle

De bonnes compétences en codage sont également requises, de préférence en Python

Le candidat doit avoir à la fois un attrait pour travailler sur des problèmes médicaux précis et efficaces et une solide formation théorique.

Soft skills : Autonomie, Travail d’équipe, Esprit critique, notamment dans l’interprétation des résultats

DOCUMENTS DE DEMANDE DEMANDÉS, CRITÈRES D'ÉLIGIBILITÉ, PROCESSUS DE SÉLECTION

• CV
• Lettre de motivation
• Relevé de notes du Master 

COMMENT POSTULER :  merci d'adresser les documents demandés à : paul.chauchat@lis-lab.fr 

We are seeking a highly motivated PhD and/or MD graduate to work in the Cardiovascular research lab in the Tulane University Department of Medicine (New Orleans). The successful candidate will join a NIH-funded project to investigate the role of insulin-like growth factor I (IGF-1) in atherosclerosis in mice and in a large (porcine) animal model. The project studies the relation between IGF-1, cell senescence and atherosclerotic disease and will use a loss-of-function murine model, atherosclerotic pigs and explore mechanisms using in vitro studies. The experience in basic molecular biology and in handling rodents are highly desirable. Basic knowledge of vascular biology and recent lab experience are required. The job involves designing and conducting research projects, mentoring graduate and undergraduate students, presenting at national/international conferences, and writing manuscripts. The Pl and research team will closely work with the successful candidate for training in all these aspects, and the candidate will be encouraged to apply for independent postdoctoral fellowship grants.

Qualifications: 1. PhD, MD, or equivalent degree with a basic background in vascular biology. 2. Basic research lab experience in molecular and cellular biology, biochemistry, and animal physiology. Selected candidates must complete and pass a background check and an occupational health screening as a condition of employment. For identified jobs, a drug screening will also be required. The background investigation, required occupational health screening, and any required drug screening will be conducted after a conditional employment offer has been extended. Application Instructions FIRST: Please use link below to apply for this position. You will not be considered as a candidate for this position unless you apply using this link.

https://apply.interfolio.com/67280

Interested candidates should provide 1) CV, 2) a letter detailing your interest in the lab and past research experience, and 3) contact information for three research references. Equal Employment Opportunity Statement Please Note: Tulane University has officially adopted a mandatory COVID-19 vaccination policy. All employees and visiting faculty must be fully vaccinated with a COVID-19 vaccination or obtain approval for a medical or religious exemption prior to beginning employment. Tulane University is located in New Orleans - a city with tremendous history of diverse cultures, community, and languages. Tulane is actively building a campus culture grounded in our values of EDI and anti-racism. We seek and welcome candidate applications from historically underrepresented groups, such as BIPOC (Black, Indigenous, People of Color), women, LGBTQ+, those living with disabilities, and veterans. Tulane University is an Equal Employment Opportunity/Affirmative Action institution committed to excellence through diversity and creating a community and culture that fosters a sense of belonging for all. We are a recognized employer and educator valuing AA/EEO and will not discriminate based upon race, ethnicity, color, sex, religion, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, marital status, or any other status or classification protected by federal, state, or local law. It is important to us to intentionally seek candidates who are committed to fostering equity, diversity, and inclusion in support of Tulane’s Strategy for Tomorrow and encourage all qualified candidates to apply.

The Channing Division of Network Medicine, Brigham and Women’s Hospital, and Harvard Medical School are seeking applicants for 3 postdoctoral positions in integrative omic analysis of asthma, lung function, and aging. All projects provide a terrific opportunity to work with large, deeply-phenotyped human populations with a focus on the integrative multiomic analysis. The ideal candidate will have a strong background in programming or statistics together with a familiarity with bioinformatics tools. No wet lab or laboratory experience is desired or required. All projects are jointly supervised by Assistant Professor Michael McGeachie and Associate Professor Jessica Lasky- Su, or by Dr Lasky-Su alone, but it will also include interacting with a highly-interdisciplinary team of researchers from both the Channing and elsewhere in the Longwood Medical Area, Boston MA.

Project 1: The position will focus on the analysis of microRNA-Seq and metabolomics profiling data from a Biobank cohort with asthma, with additional integrative omic investigations including the integration of genomic variants and DNA methylation. We are specifically interested in studying miRNA and metabolomic influences on asthma progression through lung function, while including other omic datatypes including genetics, genomics and the microbiome. (Supervisors Drs McGeachie and Lasky-Su).

Project 2: The position will focus on the analysis of large-scale antibody profiling and metabolomics profiling data from a Biobank cohort with asthma, with additional integrative omic investigations including the integration of genomic variants and DNA methylation. Primary goals include studying infection and metabolomic influences on asthma progression through lung function and other disease outcomes, while including other omic datatypes including genetics, genomics and the microbiome. (Supervisor Dr Lasky-Su).

Project 3: The position will focus on the analysis of multi-omic data and electronic medical records (EMR) from several Biobank cohorts, with additional integrative omic investigations including the integration of genomic variants and DNA methylation. The main work will be studying aging and chronic disease trajectories, while integrating omic datatypes including metabolomics, proteomics, genetics, genomics and the microbiome. (Supervisor Dr Lasky-Su).

The Channing Division of Network Medicine represents a diverse and highly collaborative research community that is focused on deciphering the etiology of complex diseases. The lab benefits from active collaborations with computational, biostatistical, and networking experts. We also work with state-of-the-art laboratories for the generation of ‘omics’ data and have established bioinformatic pipelines for cleaning and preparing data for analysis. The fellow will primarily be working on the statistical analysis and scientific write up of projects based within one of our many well-established longitudinal cohorts of children and adults, which have a wealth of multi-omic data and cover lifestyle, behavior, dietary and environmental risk factors. These outstanding resources offer the potential for a high-quality candidate to address scientific questions of interest and to develop their

research career in a vibrant environment. We are seeking highly motivated and analytically-capable applicants who have a strong interest in progressing the field through impactful science.

QUALIFICATIONS: Applicants should have a Ph.D., Sc.D. or M.D. with a strong analytic background in genomics, bioinformatics, statistics, epidemiology, computer science, network biology or related field. Programming proficiency in some language is required (e.g. Java, C, C++, Python, Perl, SAS, MATLAB or R). Previous experience with analyzing metabolomic and/or next generation sequencing data is desired. Scientific publications in a peer-reviewed journal are necessary. Excellent written and verbal communication skills are essential.

To apply, please supply a cover letter describing current research interests and specifically addressing your interest in the work of the Channing and how your background may uniquely prepare you for one of the three projects. Applications should also include a CV including contact information for three references and mail to remmg@channing.harvard.edu and rejpo@channing.harvard.edu.

Brigham and Women’s Hospital is a Harvard Medical School affiliated institution, with over 1000 principal investigators. The Channing Division of Network Medicine is a research division within the Department of Medicine whose goal is to define the etiology and reclassify complex disease using network- and systems-based approaches. This group includes some of the largest population-based and pulmonary cohorts in the world, and an outstanding track record of mentoring.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related condition or any other characteristic protected by law. Women and minority candidates are particularly encouraged to apply.

Appointment and/or employment at a Mass General Brigham affiliate is contingent upon compliance with all requirements for employment at the MGB affiliate. These requirements include without limitation: • United States Citizenship and Immigration Services rules concerning identity and right to work in the United States • Multi-state criminal background checks • Review of the Medicare Sanctions and Exclusions List • Pre-employment health and drug screening and annual compliance with the Influenza Vaccination Policy Any offer of employment is contingent upon satisfactory completion of the above requirements for employment, as well as satisfactory completion of the credentialing and medical staff appointment process at the MGB affiliate(s) where the applicant will provide clinical services. Reference information, including academic and/or employment records, final evaluations, and recommendations for future employment will be required.

The postdoc scholar will participate in several research projects pertinent to retinal diseases currently funded by the Dr. Gangaraju lab. This individual will also have the responsibility of carrying out independent research related to these projects.

PhD in Health Sciences not limited to Pharmacology, Biochemistry, Clinical and Experimental Therapeutics.

The candidate must have acquired a solid publication record (at minimum one first author) and have excellent laboratory skills. Strong verbal and written communication skills in English are required. Candidates should have experience with the techniques of protein biochemistry, cell culture, microscopy, and animal experiments. Candidates with experience in vision science are highly preferred.

Applicants should have a demonstrated commitment to and knowledge of equal employment opportunity and affirmative action.

The University of Tennessee Health Science Center is the flagship statewide, public, academic health institution in Tennessee. Founded in 1911, the mission of the University of Tennessee Health Science Center is to improve the health and well-being of Tennesseans and the global community by fostering integrated, collaborative, and inclusive education, research, scientific discovery, clinical care, and public service. Employing more than 4,600 people on its faculty, staff, and not-for-profit corporation faculty practice groups, and with more than 3,200 students across the state, UTHSC contributes $4 billion to the economy of Tennessee.

Part of the University of Tennessee System, the Health Science Center is headquartered in Memphis and includes all six of UT's doctoral-degree-granting health science colleges -- Medicine, Dentistry, Pharmacy, Nursing, Graduate Health Sciences, and Health Professions. UTHSC spans the state with its four major, regional clinical health science locations in Memphis, Knoxville, Chattanooga, and Nashville, as well as more than 100 clinical education sites across Tennessee. UTHSC is the largest educator of health care professionals in the state and operates the state's largest residency and fellowship advanced training programs.

Located in West Tennessee on the banks of the Mississippi River, Memphis is the second-largest city in the state and among the largest cities in the Southeast. The Greater Memphis metropolitan area has more than 1.3 million residents, and the city ranks among those with the lowest cost of living in the country. It is home to a vibrant restaurant scene, a revitalized Downtown, the Midtown Arts District, many scenic neighborhoods, an active medical district, and a burgeoning airport in the midst of a $214 million modernization.

Memphis boats attractions, including Elvis Presley's Graceland, the Memphis Grizzlies, historic Beale Street, the National Civil Rights Museum, the second-largest urban county park in the United States, and the Memphis in May World Championship Barbecue Cooking Contest.

Dr. Putluri's laboratory is dedicated to investigating cause role of cancer progression, with a particular focus on bladder cancer research. Our lab has established a robust research program in this field, encompassing the characterization of metabolic alterations associated with smoking in bladder cancer, exploring health disparities, and elucidating the role of xenobiotic metabolism in bladder cancer progression. We employ a diverse array of pre-clinical models including cancer cell lines, 3D spheroid cultures, orthotopic xenografts, patient-derived xenografts (PDXs), and genetically engineered mouse models (GEMMs). We are actively seeking a highly motivated Postdoctoral Associate who shares our passion for translational tumor research. For further insight into our work, please consider reading the most recent paper published by our laboratory (Nat Commun. 2024; PMID: 38355560).

Job Duties

• Prepares and conducts laboratory research experiments.
• Collects, compiles and analyzes data.
• Collaborates with scientists out of the lab for multidisciplinary study in cancer related projects.
• Develops new model and technique to support the cancer-related research in the lab.
• Documents experimental procedures in precise details.
• Collects and compiles imaging data.
• Assists in day-to-day operation of running scientific research lab.
• Attends Lab Meetings, documents weekly data and monthly data.
• Performs independent research in the field of cancer metabolism.
• The focus of our laboratory is cancer metabolism and tumorigenesis. The research work will involve a combination of metabolomics, genomics, epigenomics, shRNA KD, CRISPR-gene editing approaches, over expression and a variety of model systems including cell line, organoids, mice and PDXs.
• Seeks external funding via grants applications/submissions and organizes the data for grant submission.
• Conducts literature searches and summarizes information in an appropriate format for a particular study.
• Should write the IACUC, IRB and IBC reports and ensure these are kept updated.
• Performs sample extraction for metabolomics and use of mass spectrometry instrumentation needed for the projects (training will be provided as needed).
• Demonstrates competency in method development, execution, data analysis, and interpretation of metabolomics profiling and quantitative targeted assays.

Minimum Qualifications

• MD or Ph.D. in Basic Science, Health Science, or a related field.
• No experience required.

Preferred Qualifications

• Prior experiences in tissue culture and basic molecular biology techniques (e.g., PCR, DNA purification, Western blot, etc.).
• Experience with handling animal models including performing/maintaining therapeutic experiments using mouse models will be plus.
• Experience with LCMS or Cancer metabolism will be plus.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.