55 molecular-modeling-or-molecular-dynamic-simulation positions at The University of Alabama
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Sciences and the Alabama Museum of Natural History. Research in the lab focuses on the systematics and genomics of invertebrates using molecular and morphological approaches. Research and study will
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Department Summary: Leads and contributes to cutting-edge research in the field of coastal flood hazard assessment, with a strong emphasis on compound flood processes and nonstationary coastal dynamics
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Computing (e.g., memristor modeling/simulation/manufacturing) and Edge AI related areas (e.g., AI algorithms, AI accelerator, VLSI). Detailed Position Information The Department of Electrical and Computer
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security and quality, remote sensing, hydrologic and hydraulic modeling, and watershed management through synergies with AWI research programs, including the NOAA Cooperative Institute for Research
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of the largest and most dynamic Greek communities in the nation. This position is at the forefront of student development, risk prevention, and wellbeing innovation, shaping the experiences of around 13,000
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models, modeling frameworks, and applications related to the Next Generation Water Resources Modeling Framework for water prediction and hydrologic forecasting. Continuation in this position is contingent
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modeling in population health • Digital health and wearable tech integration • Human-computer interaction and usability evaluation • Ethical and equitable design of intelligent systems • Ergonomics and human
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research utilizing computer simulations and/or theoretical analyses to investigate dynamical processes in protoplanetary disks around a young star as well as the implications of these processes to planet
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Minimum Qualifications: Bachelor's degree and eight (8) years of economic forecasting, modeling, and/or analysis experience; OR master's degree and six (6) years of economic forecasting, modeling, and/or
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within a dynamic academic library environment. • Ability to solve problems independently or collaboratively, using sound judgment in decision-making. • Willingness to explore new technologies and to find