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(DVM, PhD, or equivalent) degree(s) by start date and should be able to demonstrate experience on pathogenesis, epidemiology, or virology of veterinary pathogens. Candidates with a strong background in
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on the development of Bayesian statistical/machine learning methods for the data integration analysis of high-throughput imaging and molecular data (i.e., genome, transcriptome, epigenome, and more). The methods would
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, conference attendance, and/or other training opportunities. Qualifications Essential Qualifications *All essential qualifications must be fully documented on application materials. PhD in Biology, Evolution
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benefits package that includes: Competitive wages, paid holidays, and generous time off Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents
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opportunities within or outside of the department (e.g., ICD Bag Lunch, workshops) Qualifications Required Qualifications PhD in psychology, human development, or a related field. Ability to collaborate
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documented on application materials. Required Qualifications: • PhD, MD, or equivalent. • Experience collaborating with clinical and research faculty in an academic setting. • Excellent spoken and written
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to teach team members how neural network simulations work Author, co-author, and otherwise collaborate on reports, conference papers and journal articles. (25%) Communicate with PIs about model development
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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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Regular/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Qualifications Required: PhD in physics, chemistry, biophysics, biochemistry
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learning opportunities through professional training Medical, dental, and pharmacy plans Healthcare and dependent care flexible spending accounts University HSA contributions Disability and life insurance