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on the development of advanced artificial intelligence and machine learning methods for genome interpretation, with a particular emphasis on modeling the relationship between genetic variation and phenotypic outcomes
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Description The postdoc will plan and conduct brain imaging studies on cue-reactivity, craving, and impulsivity in eating disorders, in the context of an IReSP funded research project. The postdoc will analyze
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combine density functional theory (DFT), molecular simulations, and machine-learning force field (ML-FF) development to uncover the factors controlling NHC–surface interactions and to model realistic
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for a duration of six years. NumPEx contributes to the design and the development of numerical methods, software components and tools that support future productive European exascale and post-exascale
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); writing skills in French and English Appreciated: - Interest in the economics of innovation and regional development; - Project management; - Creativity, self-learning ability, ability to make proposals
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elucidating the molecular and cellular mechanisms of the late phase of long-term potentiation (LTP), a key process in learning and memory. The project is based on the development and use of an innovative
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evaluation of virtual tutors (recommendation systems) by working at the intersection of education sciences, psychology, and data engineering. The main tasks of the successful candidate will be: - Designing and
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to several aspects of the project, including: -design, development and validation of experimental optical microscopy setups -modelling and optimization of experimental parameters -adaptation and further