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Field
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expanding the application space of optical nano-imaging in new modalities to resolve structure, coupling, and dynamics in functional molecular and quantum materials at their fundamental length and time
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 11 hours ago
molecular levels to continuous pore scale level. The modeling of porous membrane usually requires computationally expensive modeling approaches such as molecular dynamics simulations (MD), computational
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could constitute exceptionally strong Lewis acids and enable the activation of otherwise poorly reactive substrates. An integrated approach combining classical molecular dynamics (cMD), DFT calculations
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Postdoctoral Associate | Mitochondrial Genomics | Lake Lab — Yale University, Department of Genetics
Develop and apply new tools to study mtDNA mutations, copy number, and dynamics Characterize the cellular and mitochondrial consequences of mtDNA mutations using molecular, imaging, and functional assays
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You are here You are here: Home > Postdoc in the Dynamics of Protein Synthesis and RNA Decay Lab Postdoc in the Dynamics of Protein Synthesis and RNA Decay Lab Postdoc in the Dynamics of Protein
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Fluorescently labeled five day old gastruloid, a mouse embryonic stem-cell derived pseudo-embryo. Job Biophysics postdoc position – Dynamics of developmental processes Team: Physics of Biological Function
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). The postdoc will perform enhanced sampling molecular dynamics simulations using neural network potentials and deploy statistical mechanics (e.g., rare-event theory), Markov-state models for molecular
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postdoc will engage in frontier, discovery-driven research in protein phosphorylation and dynamic regulation, with a focus on an important subcellular microdomain of the neuron- the axon initial segment
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agricultural pesticides and detail their potency, selectivity, and resistance mechanisms at the molecular level. Techniques employed: Classical molecular dynamics, metadynamics, constant-pH dynamics, hybrid
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: ● The postdoc will generate density functional theory reference data, use it to train and validate machine-learning force fields, run molecular dynamics simulations based on those potentials