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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD student will work in the
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be done via computer simulations, including Monte Carlo and molecular dynamics, combined with the use of statistical mechanics to predict e.g. phase transitions, nucleation rates, etc. The work will be
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resources to carry out the PhD project. This PhD is part of an interdisciplinary research project, involving mathematicians, molecular biologists, parasitologists, and philosophers from France, the Netherlands
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on food craving and health-related decision-making. To this purpose, we will use a combination of brain imaging, behavioral measures, and machine-learning techniques. Activities The successful candidate
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: electronic structure calculations (plane wave DFT if possible), statistical thermodynamics, molecular dynamics. Skills in Python, bash scripting, Fortran 90 and machine-learning would be appreciated. The PIIM
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Contexte : Situation de l'emploi et conditions : The PhD project is associated with the Paris RÉUSS-I project: inteGREEN, funded by ANR France 2030 PEPR Ville Durable et Bâtiment Innovant (VDBI). inteGREEN
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into **influence functions**, theoretical tools designed to quantify the impact of a sample on a machine learning model. These functions, defined through the derivative of model parameters or the loss function with
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available for onsite translation, how the axonal and dendritic RNA landscapes are locally organized and regulated to integrate external local signals is to date unclear. The objective of the PhD project will
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interactions, dynamics and function of membrane proteins, protein folding and aggregation. The master internship and following PhD will be performed in close collaboration with the team of Yohann Boutte in
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on the University of Toulouse science campus, easily accessible by public transport, car, or bicycle. The CBI offers research teams an excellent international scientific and technological environment with innovative