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Development and application of new methods for studying allosteric regulation in chaperone complexes
methods and models for the study and simulation of protein folding processes; in the development and application of coarse-grained models for the study of the dynamics of single proteins and complexes; in
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dependents. Position Summary: Molecular Pathology is a very dynamic area of the laboratory. Novel clinical tests are often introduced, existing methodologies are often upgraded or replaced, and send-out tests
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but are not limited to systems/data science, artificial intelligence, machine learning, modern design and optimization, and molecular dynamics for catalysis, energy storage and conversion, smart
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chemistry, molecular dynamics simulations, quantum chemistry, nanomaterials, energy materials, or biomaterials. Candidates with expertise in related fields but not directly linked to AI/Computational
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reactions, chemical kinetics, energy, plasma-reagent interactions, plasma processing for industrial applications. modeling and simulation of plasma dynamics. Research: Conduct high-impact research in
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We strive to understand the central nervous system at multiple levels of function, from cells to cognition to social interactions. Our approaches range from molecular, cellular and experimental
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biotechnology. Its research activities aim to understand and master living systems through various approaches, including molecular dynamics, simulation, and data decryption, supported by artificial intelligence
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demonstrated record of successful teaching experience, including didactic, online, simulation and clinical in undergraduate nursing programs. GENERAL INFORMATION: The School of Nursing (http://www.udel.edu
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Ph.D. Position in Organic Chemistry, Polymer Chemistry, and/or Sol–Gel Chemistry & Materials Science
measurements Basic knowledge of molecular simulation or modelling (e.g., molecular dynamics, coarse-grained modelling, or structure–property simulations) is advantageous Excellent written and oral
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function. This project will build upon ongoing work in the lab to resolve the molecular mechanisms driving stomatal clustering using Begonias and to implement this knowledge to engineer stomatal patterns