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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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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
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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
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publication of results and full reproduction of experiments - Ensure that data and research materials are organized, maintained, and archived when appropriate, ensuring future access - Conduct regular meetings
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its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual
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presenting at scientific conferences 10% mentoring – training graduate and undergraduate students in the laboratory Qualifications Required Qualifications PhD or equivalent in Biomedical Engineering, Materials
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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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complete training and regulatory requirements for the position (5% effort) All required qualifications must be documented on application materials. Required Qualifications: • Recent completion of a doctoral
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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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Health Policy Postdoctoral Program supports professional development of researchers as they pursue the following goals: 1. Conduct research to inform the development, implementation, and evaluation