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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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seeking a postdoctoral researcher to investigate how the use of visualization and simulation tools impacts undergraduate students' understanding and attitudes in topics related to semiconductor physics
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postdoctoral fellow interested in gaining trainingand experience in disease modelling and translational science. The successful candidatewill lead collaborative efforts among basic and clinical researchers and
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inferential statistics, model testing, and power analysis Desired Qualifications Demonstrated mentoring and teaching ability in the areas of statistical methods and use research-related tools Experience with
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validating deep learning models for the prediction of disease progression from ophthalmic data. Skills include working with image or computer vision-based toolkits, development of multimodal, multidata type
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the area of electric power grids. Essential Duties and Responsibilities: • Perform cyber-physical system modeling and simulation for the power grid. • Perform research on power system dynamics and
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collaborative efforts among researchers at the University of Utah and UC San Diego in developing and applying methods in predictive and causal modeling of complex biomedical and social processes and systems
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geothermal resources, reservoir modeling, techno-economic analysis and machine learning implementation, and other emerging geothermal energy-related topics. The selectee will be expected to develop funding and
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; Clinical Translational Sciences and Experimental Therapeutics; Imaging, Modeling & Simulation; CNS Diseases and Drug Addiction. The position is a full-time, non-tenure-track, 12-month appointment based
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disease phenotypes. Send resume to: Eric Hoffman, Ph.D., Radiology, University of Iowa, 200 Hawkins Drive, Iowa City, Iowa, 52242 319/356-1381. Key Areas of Responsibility Experiments, Simulation, Modeling