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on the plants Arabidopsis thaliana will generate maps of depolarization, retardance, dichroism, and optical axis azimuth, which will feed machine learning models developed by the project partners to identify
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experiments on mouse models (force-feeding, intraperitoneal injections, blood sampling, oral and faecal microbiota sampling), behavioural tests, post-mortem neuropathological evaluations, biochemical analyses
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postdoctoral researcher position in theoretical cosmology. The position is dedicated to developing a robust and efficient framework that incorporates a broad range of neutrino and dark-matter models, assessing
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understanding its internal structure. Interpreting these geophysical data to model planetary structure and dynamics depends on understanding the physical properties of materials under relevant pressure and
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biostatistics, - At least 2 years of postdoctoral experience, and if possible experience in supervision (master or PhD students), - Solid background in mathematical modelling and computer programming
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. Skills and requirements PhD in Oceanography or equivalent Expertise in coastal ocean dynamics and modeling Proficiency in programming, with a minimum requirement of Fortran and Python Excellent English
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to work on a colloidal model system. The postdoctoral position, funded by an ANR grant (DiViNew), is open at the Gulliver laboratory (ESPCI Paris, PSL Research University). The project aims at developing a
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throughput genomics that informs advanced numerical analysis methods (modeling, statistics, machine learning). Plankton encompasses all organisms roaming with marine currents. Those organisms are responsible
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far from straightforward. In particular, estimates of transfer rates based on documented cases are both biased and approximate. This project aims to develop explicit phylogenetic models of TE evolution
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will be part of a team involved in modelling and observations