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Candidates MD, DO, MBBS, PhD, EdD, or equivalent in a related field such as the health sciences, education or other field given context of work experience and/or other qualifications. Qualified for a faculty
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questions. Required Qualifications for All Candidates MD, DO, MBBS, PhD, EdD, or equivalent in a related field such as the health sciences, education or other field given context of work experience and/or
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scientific computing, with strong connections to machine learning and artificial intelligence. While all areas of expertise broadly within theoretical and applied areas of computational mathematics will be
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, Student Learning Center, and the Student Evaluation, Promotion, and Appeals Committee (SEPAC) to address performance concerns and promote learner success. Leads efforts to standardize and enhance assessment
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Statistics. We seek applicants who have an established or emerging research record in statistical learning or computational statistics. The successful candidate will be expected to teach undergraduate and
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undergraduate and graduate courses in Statistics Establishment and leadership of a grant-supported research program in methodology and theory for statistical machine learning or modern statistical computation and
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candidate will teach design studios and lecture or seminar courses that form the core of the architecture curriculum at both undergraduate and NAAB-accredited graduate levels. Teaching areas may include
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public history; developing a robust research and scholarly profile; and providing department, college and university service. Department faculty on the tenure track typically teach a 2-2 load and may
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QUALIFICATIONS: PhD in Animal Science, Meat Science, or Food Science or related field by the time of hire. Knowledge of beef production, carcass grading, fabrication, and livestock and meat evaluation. Knowledge