79 programming-"IMPRS-ML"-"IMPRS-ML" Postdoctoral positions at University of Minnesota
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, Speech and Hearing Science, or a related field. Expertise in auditory psychophysics and/or speech perception testing. Proficiency in MATLAB and/or Python for experimental programming and data analysis
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accounts 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
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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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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 Applications must be
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Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job About the Job: Position available in the laboratory and research program of Dr. Lin Yee Chen
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spending accounts University HSA contributions Disability and life insurance Employee wellbeing program Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost
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in R, MATLAB, Python and/or other programming languages. Experience in AI and machine learning techniques applies to physiological, neural, and imaging data. Preferred qualifications Experience with
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education activities across the Medical School's two campuses: Twin Cities and Duluth. We sponsor five fellowship programs—sports medicine, hospice and palliative medicine, behavioral medicine, clinical
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Programs which houses UMTYMP - our program for mathematically talented Minnesota youth. Pay and Benefits Pay Range: $64,000 - $70,000 annually; depending on education/qualifications/experience Please visit
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forest management planning models or other operations research techniques (linear programming, integer programming, or goal programming). Experience developing growth and yield models and using the Forest