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Join us to pioneer next-generation generative models that accelerate molecular dynamics. We seek a postdoctoral researcher to develop AI surrogates for molecular dynamics (MD), slashing
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molecular dynamics, enhanced sampling, and kinetic modeling—the team investigates how neurotransmitters like norepinephrine and hormones such as estrogen interact with β-adrenergic and estrogen-related GPCRs
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processing 2. nonequilibrium physics of molecular machines 3. understanding the role of phase-separated condensates with quantitative models 4. Modeling multicellular systems in mechanobiology 5. AI assisted
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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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) 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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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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to apply. We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular dynamics, and materials chemistry. Strong
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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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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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of molecular reactions occurring at the surface of various materials. In addition, computational fluid dynamics (CFD) simulations combined with microkinetic modeling will be carried out to study the heat