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of massive galaxies from the primordial Universe to z~2. This project combines a unique JWST dataset with state-of-the art hydrodynamical simulations and machine learning techniques to understand the origins
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Innsbruck (J.Phys.Chem.A2021,125,7662−7669) in an existing machine. The successful candidate will be responsible for the theoretical design (SIMION simulations), mechanical design (SOLIDWORKS), and final
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plasmodesmata (Bordeaux, Bayer) and in protein/membrane interaction by molecular dynamic simulation (Taly, Paris). To gain mechanistic insights into MCTP action and ER tubularization at PD, the post-doc will use
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integrated photonics, and includes the potential to become a co-founder of Lightspring. We are looking for someone with complementary skills in photonics, optical design, numerical simulations of photonic
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thin film deposition is strongly recommended. Knowledge in solid-state chemistry, ceramics, nanoimprint lithography processing, (photo)electrochemistry, or optical simulation (RCWA and FDTD for light
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accessible observables in attoscience. The postdoctoral researcher will carry out methodological developments and advanced numerical simulations to explore these ultrafast dynamics in exotic systems. -Develop
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at the interface between two teams with expertise in plant cell biology and plasmodesmata (Bordeaux, Bayer) and in protein/membrane interaction by molecular dynamic simulation (Taly, Paris). To gain mechanistic
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machine learning - Coding - Tests with simulations - Data analyses - Paper writing - Presenting results - Integration within the BioDiv team at IBENS - Availability of work
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. This requires a molecular-level understanding of the electrochemical electrode/electrolyte interface. The postdoctoral researcher will develop a theoretical approach to simulate the initial stages of plating and
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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