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Development and application of new methods for studying allosteric regulation in chaperone complexes
methods and models for the study and simulation of protein folding processes; in the development and application of coarse-grained models for the study of the dynamics of single proteins and complexes; in
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dependents. Position Summary: Molecular Pathology is a very dynamic area of the laboratory. Novel clinical tests are often introduced, existing methodologies are often upgraded or replaced, and send-out tests
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Palaiseau, le de France | France | about 2 months ago
employ a 3D dynamical model called a Cloud-Resolving Model (CRM). It is a non-hydrostatic atmospheric model simulating a rather small, local domain (a few hundred kilometers across, to be compared
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fusion and intracellular cargo delivery. Using a combination of coarse-grained molecular dynamics simulations with the Martini force field and complementary biophysical approaches, we will elucidate
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docking for ligand optimization • perform extensive molecular dynamics (MD) simulations (AMBER, NAMD, GROMACS) in fully hydrated lipid bilayer systems to replicate physiological conditions and assess
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the underlying principles. For us, it is equally important to study the impact of materials on biological processes as well as the impact of biological processes on materials. Our ambition is to foster a dynamic
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, molecular dynamics, stochastic dynamics, Monte Carlo and analytical methods) and its thorough validation using advanced experimental techniques (such as mass spectrometry, electron microscopy, radiochemistry
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» Modelling tools Engineering » Control engineering Engineering » Simulation engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 23 Mar 2026 - 23:59 (Europe
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of Biology includes a variety of faculty and over 350 undergraduate majors and Masters-level graduate students focusing on evolutionary, ecological, molecular, physiological, microbial, and health sciences
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We strive to understand the central nervous system at multiple levels of function, from cells to cognition to social interactions. Our approaches range from molecular, cellular and experimental