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Previous Job Job Title Program and Research Assistant Next Job Apply for Job Job ID 370191 Location Twin Cities Job Family Supplemental Employee Full/Part Time Part-Time Regular/Temporary Regular
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outcomes ●casual representation learning for real-world data ● deep learning interpretation, fairness and robustness ●Regularly conduct computational experiments to execute algorithms on various health and
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Qualifications Extensive research experience in computational fluids, advanced grid generation and unstructured gridding of complex geometries, high-temperature gas dynamics, advanced multi-physics simulation
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the REVEAL project, in which vagus nerve implant patients will be stimulated with various settings, and corresponding responses will be collected across body systems. Multiple types of computational and
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of Minnesota, working with Professor Russell Funk. This position focuses on using computational methods to understand how knowledge is produced, shared, and applied across complex systems. About the Project
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validate signal processing algorithms and stimulation strategies using electrophysiological and behavioral data. Develop GUIs, psychophysical test protocols, and objective outcome measures (e.g., ECAP, ABR
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/Statistics, Medical/Health Informatics. Strong computational and programming skills with abilities to develop cutting-edge large-scale machine/deep learning algorithms using high-performance computing (HPC
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tools. * Familiarity with tensorflow and/or pytorch. * Demonstrated ability to design and implement machine learning techniques and algorithms. * Demonstrated expertise in the Linux computing environment
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computer science programs (Chemical Engineering, Civil and Environmental Engineering, Computer Science, Electrical and Computer Engineering, and Mechanical and Industrial Engineering). This two-year
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applicant(s). Applicants must have completed their Ph.D. or Psy.D. from an accredited program in clinical or counseling psychology and/or relationship/family therapy prior to starting this fellowship program