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ecosystems is highly dynamic. Most engineered biosensors for environmental monitoring are characterised under laboratory conditions and poorly reflect the complex dynamics of nature. This limits our ability
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technologies 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
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an advantage: Deep learning or machine learning Structural bioinformatics Protein structure prediction and modelling Molecular simulations Membrane proteins or membrane biophysics Scientific software development
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(IAS-2), we employ theory, modeling, and simulation to study and understand the structure, self-assembly, and dynamics of complex fluids, active soft matter, and living matter - on the basis of physical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
knowledge of the molecular dynamics simulations, polymer physical chemistry, and data analysis, Linux operating systems, programming skills and scripting, all of which could be obtained during
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expertise in 1) protein dynamics; 2) molecular dynamics simulations; and 3) high-performance computing environments. Prior programming experience is preferred but not required. The postdoctoral scientist will
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Posting Summary Logo Posting Number RTF00185PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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using molecular dynamics methods Additional Information Benefits * employment at one of Poland's leading technical universities, which co-creates modern science and education * a friendly working
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description The AICell Lab (https://aicell.io ) in the department of Applied Physics
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
, including molecular dynamics, quantum mechanical simulations, and machine learning. Proficiency in programming languages and computational software’s. Strong motivation and passion for research in the field