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. Emphasis is placed on artificial intelligence/machine learning approaches applied to digital data and multi-omics data. Additional responsibilities include mentoring students, collaborating with faculty
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-oriented Preferred Qualifications Proficiency in molecular biology techniques and directed evolution Experience with mechanistic modeling and/or machine learning/artificial intelligence to guide protein or
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the Department of Civil, Environmental, and Geo-Engineering at the University of Minnesota, Twin Cities. The successful candidate will conduct advanced research at the intersection of artificial intelligence and
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. Preferred Qualifications: Experience in decision analysis and developing computer-based simulations to model either infectious or non-infectious diseases. Evidence of research productivity in mathematical
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, and pharmacy plans Healthcare and dependent care flexible spending accounts University HSA contributions Disability and employer-paid life insurance Employee wellbeing program Excellent retirement plans
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analytical instrumentation including liquid chromatography and gas chromatography mass spectrometry systems. Data processing, data analysis, and/or modeling (30% time): Application of computational and
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, artificial intelligence (AI), and veterinary medicine, building upon the College’s existing strengths in genetics, genomics and infectious diseases while expanding into new areas of computational discovery
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(MaaS), electric vehicles, artificial intelligence in travel behavior modeling and multimodal transportation network analysis. The person will also interact with, mentor, and assist graduate and
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and dependent care flexible spending accounts University HSA contributions Disability and life insurance Employee wellbeing program Financial counseling services Employee Assistance Program with eight
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, Statistics, or a related field, strong computing/programming and communication skills, and a strong interest in omics and/or imaging data analysis are required. Experience in Bayesian high-dimensional data