82 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions at Rutgers University
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Experience Requires a doctorate in biochemistry, molecular biology, or an allied field. Requires in-depth understanding and hands-on experience in preparation and analysis of proteins, nucleic acids, and
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molecular biology, protein expression and protein purification, characterization of protein and protein-nucleic acids complexes using various biophysical methods (for example: EMSA, ITC, AUC, FLUORESCENCE
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) advanced Finite Element (FE) analysis with particular emphasis on the use of LSDYNA for simulation of crash analysis and roadside safety. This work increasingly emphasizes reliability-based performance
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deliver compounds in large scale in a timely manner Perform molecular modeling including docking is a plus Preferred Qualifications Equipment Utilized Physical Demands and Work Environment Overview
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laboratory in the Dept. Cell Biology & Neuroscience at Rutgers University is seeking a motivated and dedicated Postdoctoral Fellow to join our dynamic team studying the neuroscience of somatosensation
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isolated cells, cell/tissue culture, and transgenic mouse models of cardiovascular disease; conducting immunofluorescence microscopy, western blotting, and other molecular techniques. Designs, executes, and
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Institute of Microbiology is seeking a postdoctoral associate to participate in our studies of reproductive biology in the C. elegans model system. Specifically, the candidate will contribute to our
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research design, fieldwork, data science, simulation modeling, writing, and presentations. The overarching goal of the Postdoctoral Associate will be to systematically investigate, evaluate, and address both
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integration of observational constraints. Interest in or experience with the development of emulators of complex models is also valuable. The postdoctoral associate may also have the opportunity to work with
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, electromagnetic, electrical, and electrochemical methods and devices, such as ultrasonic methods or GPR, 2) application of numerical simulation and artificial intelligence for advanced modeling and analysis