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progression. This project addresses the challenge of studying early tumorigenesis in pancreatic cancer by developing advanced in vitro models based on human extracellular matrix (ECM), aiming to recreate
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initiation. To this end, researchers are focusing on the development of new data-driven approaches integrating imaging information and patient physiological characteristics to improve the simulation and
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, considering the complex morphological and biological evolutive patterns of tumor lesions after immunotherapy initiation. To this end, researchers are focusing on the development of new data-driven approaches
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well as computational modeling. The development and numerical implementation of novel methods has become a key issue in modern oncology, both in terms of understanding the biology of cancers and for medical oncology
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prognosis. Gene therapy holds a great promise for the development of cures for these devastating pathologies.The project is funded by The POLG foundation. We are conducting preclinical development of an AAV
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A post-doctoral position in human population genomics is opening in our lab to work on the POPGEN project. The POPGEN project is a pilot research project developed in the framework of the French
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Virtual laboratory to predict the ability of a fluctuating biomass to satisfy a material use-VARIOUS
Work environment, missions and activities Nature and purpose of the research project to be developed and related activities. Industries are having to reduce emissions resulting in the need to revamp
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, we take a systemic approach and study the interconnectedness of human activities and the environment. Our mission is to develop sustainable, socially just, and environmentally friendly solutions by
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independent research group in Immunology. The successful candidate will be expected to develop a bold, innovative, and high-impact research program that complements and enhances INEM’s scientific strengths
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contribute to the development of a proof of concept obtained at University Côte d’Azur for accessing the content of a metabolomics knowledge graph (KG) with a large language model. It is Python prototype of a