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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 32 minutes ago
molecular dynamics, discrete element method and bonded-particle model. Experience with granular flow, plume-surface interaction, fracture mechanics, thermomechanical response, and impact are a plus. The
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of enzyme proteins, use of CD, IR, NMR, etc Experience in computational modelling of biointerfaces using advanced molecular dynamic approaches This is a full time (35 hours per week) and you will be offered a
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and diseased human tissues and immune cells of the heart, cardiovascular system, and gastrointestinal tract. The research will build spatiotemporal models of human immunological tissue architectures
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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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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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Description: We offer a postdoctoral position with a topic focused on understanding key mechanisms of developmental biology. More precisely the applicant will have the opportunity to study molecular and
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to its state-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. About Entity
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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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. Advanced programming skills, particularly in Python. Experience with computational approaches to protein folding welcome. Familiarity with molecular dynamics simulation tools such as GROMACS welcome. A solid
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. In this role, you will help build a systems-level understanding of human biology by developing computational approaches to model the dynamic regulatory programs of cells and tissues. By combining