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modeling, computational complexity, or algorithm analysis. We are especially interested in candidates experienced in teaching with computational tools who can work alongside current faculty to incorporate
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should take a student-centered approach to undergraduate teaching, and have a strong commitment to the liberal arts. Our teacher-scholar model includes a 3-3 teaching load. Candidates will teach lower
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computational techniques such as artificial intelligence, data science, machine learning, statistics, formal methods, numerical methods, computational modeling, computational complexity, or algorithm analysis. We
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, statistics, formal methods, numerical methods, computational modeling, computational complexity, or algorithm analysis. We are especially interested in candidates experienced in teaching with computational
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experience in spreadsheet modeling, forecasting, financial analyses, budget development and cost control; marketing and communication practices; and logistics including contract review and analysis; technology
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Athletics' mission by building innovative revenue models that directly support the holistic development of our student-athletes and the long-term success of our programs. This position is also intended to be
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Student Model, to include physical, emotional, spiritual and social well-being. Plan and implement evidence-based health promotion initiatives designed for our diverse student population and aligned with
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. Role models positive personal leadership and management skills in interactions with students and full time staff. Ensure proper administration of personnel policies and procedures. Ensure department
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or similar gun model. Background check: Successful completion of a pre-employment background check. Degree Verification Requirement: Persons offered employment in this position will be required to provide
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algorithms and data structures. Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch). Ability to develop and implement AI models for business applications. Knowledge of cloud computing