Sort by
Refine Your Search
-
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
-
Qualifications Extensive research experience in computational fluids, advanced grid generation and unstructured gridding of complex geometries, high-temperature gas dynamics, advanced multi-physics simulation
-
-doctoral Associate will develop algorithms and theory for machine learning methods, as well as implement and apply ML methods to problems in domains such as computational biology and neuroscience. This is a
-
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
-
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
-
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
-
Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Pediatric Clinical Behavioral Neuroscience- Birth to Three Program Our fellowship program aims to prepare postdoctoral
-
interdisciplinary team of researchers and Ph.D students from Department of Computer Science & Engineering as well as other departments. Duties/Responsibilities: (60%) Research and development in networking, edge
-
of Minnesota. U-Spatial is a nationally recognized model that provides consulting services and drives a fast-growing need for expertise in Geographic Information Systems (GIS), Geographic Information
-
or outside the University of Minnesota. The research will focus on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine