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insights into MCTP action and ER tubularization at PD, the post-doc will use molecular modeling and dynamics. - undertake simulations - present results in team meetings - present results as scientific
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molecular modeling and dynamics. Modeling and simulation of membrane systems. Writing of results for publication. Data handling. -The "Institut de Biologie Physico-Chimique", in association with the CNRS
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composition and atomistic modeling of materials. The main activities will include: - formulating new descriptors of critical temperature (Tc) incorporating electronic fluctuation effects, evaluated by
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, such as Bayesian approaches and fossilized birth–death models, to reconstruct robust phylogenies and estimate divergence times. It also investigates macroevolutionary dynamics, including variation in
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contribute to various aspects of the project, such as: - developing new theoretical approaches to model electrode/electrolyte interfaces - performing molecular simulations, such as molecular dynamics
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ExperienceNone Additional Information Eligibility criteria Python programming. Analysis and development of ML and DL models using standard data science libraries. Data engineering from molecular dynamics
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The postdoctoral fellow will participate in the PostGenAI@Paris AI Cluster (ANR) project at Sorbonne University, and more specifically in the "AI-Augmented Multiscale Modeling for Energy Storage" sub-project, whose
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, statistics, machine learning and deep learning. The project Motivation: Interpreting the genome means modeling the relationship between genotype and phenotype, which is the fundamental goal of biology
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molecular dynamics simulations with LAMMPS, and data curation. Scientific context: Our current understanding of polymer viscoelasticity is founded on single-chain models [2]. Such models draw on the fact
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with specialisation in computational or theoretical chemistry. • Strong expertise in electronic‑structure calculations (molecular and periodic DFT). • Experience with modelling organic semiconductors and