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of physicochemical models to interpret the experimental results. Prepare scientific reports and contribute to peer-reviewed publications. The selected candidate will join the Institut de Physique et Chimie des
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molecular biology, as well as in preclinical mouse models, to investigate th e role of osteoprotegerin in th e path ogenesis of osteosarcoma. Th is position is offered for a period of 3 years. This project is
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; --> actively participating in data collection. - Organise and contribute to data processing and analysis, including statistical analyses such as Item Response Theory (IRT) modelling and exploratory and
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, the candidate will develop structural MS approaches (HDX-MS, mass photometry, native MS and cross-linking MS) for the characterization of mulitprotein complexes. The goal is to provide conformational and
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and 3D finite element modelling (COMSOL, CST) of the optical control process for materials. -Integration of the optimal compositions into simple test structures to directly evaluate electrical switching
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. Interest and experience with training/fine-tuning machine learning models would also be appreciated. Interest and knowledge of economic theoretical modelling would be a plus. Strong coding skills and
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modelling and partial differential equations; • an understanding of Carleman linearisation approaches and/or the Koopman–von Neumann formulation; • the ability to develop and analyse numerical methods
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intelligence and large language models for data analysis, and bioscientific programming. The candidate should have experience in the analysis of large-scale biomedical data, e.g.: omics or clinical data, using
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dynamics during regeneration, aging, and cancer, and how these processes can be modulated. Our research is primarily conducted in vivo. We combine genetic mouse models (lineage tracing, conditional
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, within the framework of its transition to an Inclusive Learning Unit model. The recruited postdoctoral researcher will join the scientific consortium, which includes the "Health, Physical Activity, and