79 parallel-computing-numerical-methods Postdoctoral positions at University of Minnesota
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, fellows and other inexperienced professional persons in proper laboratory methods and procedures. Qualifications Required Qualifications: • A Doctorate Degree (PhD, which is completed within the last 3
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• Skilled in single-cell/population data analysis (e.g., GLMs, decoding) Preferred Qualifications • Background in machine learning or computational modeling (Bayesian methods, neural networks, etc
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computational modeling of behavior to identify the underlying circuit computations. Current projects in our laboratory emphasize task-structured behavior assays, including set shifting, reversal learning
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Develop methods for database development and management Organize, clean and score data Interpret results with regard to study goals and hypotheses Troubleshoot and problem solve data management issues as
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in the University of Minnesota. The research will focus on applying, developing and implementing novel statistical methods for causal inference, integrative data analysis or/and machine/deep learning
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Hulleman Laboratory is looking for a motivated and talented postdoc for a two-year program to focus on an exciting
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pharmacy plans Healthcare and dependent care flexible spending accounts University HSA contributions Disability and life insurance Employee wellbeing program Financial counseling services Employee Assistance
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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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techniques. Preference will be given to candidates with experience screening large yeast collections and computational biology expertise. Research Overview Polyploidy, or the presence of three or more sets of
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Street SE, TC East Bank Campus Description for Zang’s lab: Dr. Zang’s lab focuses on applying quantitative modeling methods to address critical public health challenges, particularly in health equity, HIV