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The predictive simulation will be developed through Finite Element Analysis (FEA) in between LMGC and ICube and LEM3 Labs. Therefore, FEA poro-mechanical simulation experience is a plus (Le Floc’h, et al., 2024
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recognized for developing and applying computational methodologies to solve biologically relevant problems. Its members are active in the fields of docking, atomistic and coarse-grained simulations tackling
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selected by the French National Agency for Radioactive Waste Management (electrochemical tests, accelerated exposure, post-exposure analyses, etc.); Develop and optimise protocols for characterising samples
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dynamic extensive training, in addition to personal development possibilities. Where to apply E-mail paola.formenti@lisa.ipsl.fr Requirements Research FieldEnvironmental science » Earth scienceEducation
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The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning
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focused on deep-phenotyping of individuals with autism and controls including brain imaging (MRI, fMRI, DTI and EEG) and a battery of cognitive tests. Our group is currently developing new methods
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A postdoctoral position is available to study dynamic processes in early development of insects and mammals. Successful candidates will join a collaborative and interdisciplinary venture in
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-phenotyping of individuals with autism and controls including brain imaging (EEG and MRI) and a battery of cognitive tests. Our group is currently developing new methods for analyzing whole genome and brain