83 postdoc-parallel-computing Postdoctoral positions at University of Minnesota in United States
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participating in the joint weekly colloquium series with the History of Science, Technology, and Medicine Program, as well as special events (e.g., academic workshops). Additionally, in consultation with
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Postdoc position in research on mineral carbon storage We are seeking an individual to fill a postdoctoral research position
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locations in MN as well as nationally) as well as the lab (meso- and microcosm experiments tracking microbial population and community dynamics as well as ecosystem function) settings. The postdoc will be
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neuroscience. Preference will be given to recent graduates or postdocs with < 2 years of experience. • Experience with live cell/live animal fluorescence imaging, and/or slice electrophysiology, or expertise in
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for Magnetic Resonance Research (CMRR), including ultra- high resolution 7T imaging. Our group is strongly committed to professional development and personalizing the postdoc experience. We encourage
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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
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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
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of undergraduate majors of any academic program on the UMN Twin Cities campus. Additionally, the department has $40 million or more in active research funding at any given time (the majority from NIH), spread across
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University HSA contributions Disability and life insurance Employee wellbeing program Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost How To Apply
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-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