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the University of Minnesota - Twin Cities seeks candidates for a tenure-track Assistant Professor, related to artificial intelligence, machine learning, data science, and biomedical informatics. They will access
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interest in the use of machine learning techniques to enable new analysis strategies, as well as the application of deep understanding of the detector to enable novel physics studies. The group also has a
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applicable public health and safety procedures. This position is a hybrid of remote and in-person work, located on the campus of UMN Medical School Duluth, with workstation, landline telephone and computer to
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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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categories, including but not limited to obtaining x500, computer and building access, Epic access, onboarding, training, badges, parking, and more. This role will require independent decision-making and
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Qualifications: BA/BS degree, or a combination of education and relevant work experience to equal at least four years. Computer proficiency in a PC environment. Demonstrated organizational, planning and problem
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Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Required Qualifications: • PhD in Electrical & Computer Engineering, Computer Science, Biomedical
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intubation, and ultrasound machines dedicated to regional anesthesia techniques. Teaching is one of the team’s main focus areas and it includes classroom and laboratory teaching to 2nd and 3rd year
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tools. * Familiarity with tensorflow and/or pytorch. * Demonstrated ability to design and implement machine learning techniques and algorithms. * Demonstrated expertise in the Linux computing environment
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related field Excellent organization, planning, interpersonal skills Knowledge of computer hardware and software, including Excel spreadsheets Written, verbal and comprehension abilities in