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Postdoctoral positions: hybrid AI for organoid digital twinning
Aix-Marseille Université

Postdoctoral positions: hybrid AI for organoid digital twinning

2025-09-01 (Europe/Paris)
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RESEARCHER PROFILE: Postdoc / R2: PhD holders 
RESEARCH FIELD(S)1: Computational Biology, Hybrid AI modeling, Organoids, Digital Twins

JOB DESCRIPTION

               The Systems Biomedicine group led by Anaïs Baudot in the Marseille Medical Genetics Unit (MMG, Inserm – Aix*Marseille University) has an opening for two postdoctoral fellows. Our interdisciplinary team develops numeric approaches with expertise in multi-omics and multi-modal data integration, network and knowledge graphs, and application to rare genetic diseases (https://www.marseille-medical-genetics.org/en/a-baudot/).

               These positions aim to contribute to an ambitious project focused on developing digital twins of organoids. Organoids are in-vitro 3D models of organs and tissues that capture key properties of their physiological counterparts. Digital twins will allow us to simulate and predict organoid behavior, combining experimental data with computational modeling to create powerful new tools for biomedical research.

               PostDoc position 1 will focus on developing resources (curation, standardization, formalization of organoid culture protocols) and strategies for leveraging these resources in data analysis (e.g., knowledge-primed neural networks).

               PostDoc position 2 will focus on developing multiscale modeling strategies combining generative AI and mechanistic modeling (e.g., Boolean modeling of gene regulatory networks, inference of cell-cell communication networks) to obtain a 3D virtual representation of an organoid.

TYPE OF CONTRACT: TEMPORARY / JOB STATUS: FULL TIME        
APPLICATION DEADLINE: 01/09/2025
ENVISAGED STARTING DATE: 01/09/2025
ENVISAGED DURATION: 18 months renewable
JOB NOT FUNDED THROUGH AN EU RESEARCH FRAMEWORK PROGRAMME

HOW TO APPLY: [email protected] 

WORK LOCATION(S): MMG U1251, Faculté de SPMP, 27 Bd Jean MOULIN, 13005 MARSEILLE France

WHAT WE OFFER: Fully funded position for 18 months (renewable) in Marseille, France. The salary will be based on experience. Starting date Autumn 2025. The MMG Unit is in the La Timone faculty of Medicine campus and is a leader in the field of rare genetic diseases.

Additional information: The Euraxess Center of Aix-Marseille Université informs foreign visiting professors, researchers, postdoc and PhD candidates about the administrative steps to be undertaken prior to arrival at AMU and the various practical formalities to be completed once in France: visas and entry requirements, insurance, help finding accommodation, support in opening a bank account, etc. More information on AMU EURAXESS Portal 

QUALIFICATIONS, REQUIRED RESEARCH FIELDS, REQUIRED EDUCATION LEVEL, PROFESSIONAL SKILLS, OTHER RESEARCH REQUIREMENTS 

  • PhD in Bioinformatics, Computational Biology, Computer Sciences, AI/Machine Learning, Applied Mathematics, Biophysics, or related fields
  • Experience in biological or clinical data analysis, development of bioinformatics workflows and packages
  • Proficiency in programming languages commonly used in bioinformatics (Python, Bash, ...) and Linux environment
  • Strong communication (oral) and reporting (written) skills
  • Flexibility and adaptability to work in a multidisciplinary environment on multiple research axes and in collaboration
  • Fluency in English

REQUESTED DOCUMENTS OF APPLICATION, ELIGIBILITY CRITERIA, SELECTION PROCESS

Applications can be sent directly to “anais.baudot – at – univ-amu.fr”. Please make sure your application includes a cover letter, a detailed CV, and the contact information for 2 or more references. Review of applications begins immediately and will continue until the position is filled

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Título
Postdoctoral positions: hybrid AI for organoid digital twinning
Ubicación
Jardin du Pharo 58, bd Charles Livon Marsella, Francia
Publicado
2025-05-20
Fecha límite de aplicación
2025-09-01 23:59 (Europe/Paris)
2025-09-01 23:59 (CET)
Tipo de trabajo
Guardar trabajo

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