80 assistant-and-professor-and-computer-and-science-and-data Postdoctoral research jobs at University of Minnesota
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Clinical Chemistry Fellowship Program at the University of Minnesota, Twin Cities, is accredited by the Commission
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life insurance Employee wellbeing program Excellent retirement plans with employer contribution Public Service Loan Forgiveness (PSLF) opportunity Financial counseling services Employee Assistance
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Data: Couple model outputs with precipitation chemistry data using receptor modeling techniques (e.g., Concentration Weighted Trajectory analysis, Positive Matrix Factorization) to perform quantitative
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Qualifications PhD in cell biology and biophysics. Training and/or experience in handling of purified proteins, computational analysis and modeling in MATLAB, stem cell differentiation and tissue culture, confocal
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counseling services Employee Assistance Program with eight sessions of counseling at no cost How To Apply Applications must be submitted online. To be considered for this position, please click the Apply
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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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with employer contribution Public Service Loan Forgiveness (PSLF) opportunity Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost Employee Transit
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Informatics (IHI), University of Minnesota, Twin Cities. Dr. Bayat’s team develops highly scalable and computationally accelerated medical imaging and analysis methods to assist in enhanced diagnosis and
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, Statistics, Epidemiology, or Computer Science -Highly qualified and motivated investigator (PhD, or MD/PhD) Preferred Qualifications: -Experience in statistical methods and analysis using SAS, R, or STATA. Pay