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collaboration with the national (GTK, CSC) and international project partners (Karlsruhe Institute of Technology). Perform ab initio molecular dynamics (MD) simulations together with consortium partners
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related field are particularly encouraged to apply.We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular
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simulations, statistical mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins, nucleic acids, ligands), coarse-grain and polymer model development
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) Agricultural Research Service (ARS). Overview: We are seeking highly motivated postdoctoral fellows to join our dynamic team with broad focus areas in prevention of diet-related chronic diseases, plant genetics
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of research results. The project has a particular focus on bioinformatic analyses of data from experimental models and patient data, but tasks may be broadened depending on the project's needs. The postdoc is
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some of the following areas: molecular dynamics, Monte Carlo simulations, statistical mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins, nucleic
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nanocrystals and carry out Brownian and molecular dynamics simulations of their self-assembly behavior in solution, on surfaces, or trapped at fluidfluid interfaces. 2) Carry out free energy calculations using
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will involve a combination of simulation and statistical modelling. Your key responsibilities will be: Lead analysis of State response data to estimate detection, occupancy, and spread of PSHB Engage
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. Strong knowledge of heterogeneous catalysis and computational chemistry. Experience with computational modeling (i,e, DFT, and/or molecular dynamics). Familiarity with software such as Material Studio
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representation theory, simple perturbation theory, and similar analytical tools. Molecular dynamics of semiconductor-oxide interface. Numerical simulations of the oxide condensation process based on force-field