76 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions at Stony Brook University
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Energy, Control Systems, or a related field. Strong background in power system stability analysis and nonlinear system dynamics. Experience with simulation tools such as PSCAD, MATLAB/Simulink, or PSS/E
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), or an anticipated degree completed prior to start date, in Neurobiology, Molecular Biology, Cell Biology or a closely related field. Applicants should provide an updated CV, contact information for at least 3
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) cyberinfrastructure, and the use of satellite and phased-array radars in weather and climate research. We have expertise in comprehensive forward instrument simulators for experimental and instrument design and model
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), or an anticipated degree completed prior to start date, in Neurobiology, Molecular Biology, Cell Biology or a closely related field. Applicants should provide an updated CV, contact information for at least 3
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surgical procedures, mouse behavior, extensive knowledge of the basal ganglia and striatum and amygdala. Experience with anterograde and retrograde circuit tracing. Experience with mouse models of compulsive
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culture models and mouse models to address the role of metabolism and inflammation in ocular diseases. * Manuscript writing for publication and presentation of research findings at national/international
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, or a closely related field. Preferred Qualification: Research experience in biomedical implants, animal models, and aging/Alzheimer’s disease. Research experience in biomaterials, neuroscience
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experience with larval or pathogen dispersal simulation and connectivity analyses strongly preferred. Knowledge of epidemiological modeling, and proficiency in multiple programming/analytical computer
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experience with larval or pathogen dispersal simulation and connectivity analyses strongly preferred. Knowledge of epidemiological modeling, and proficiency in multiple programming/analytical computer
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, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing ● Emerging AI/ML models and hardware