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various sets of data to prepare databases for cross-disciplinary AI research and learning. Incorporates open knowledge graph networks. Takes the lead in drafting scientific papers and technical documents
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research and teaching expertise in the areas of Probability or Mathematical Statistics. We are especially interested in candidates with expertise in either theory or applications of probability and
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determine appropriate recommendations and referrals. Knowledge of the theory, principles and practices related to academic advising. Ability to collaborate with various campus partners. Preferred
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color theory expert. Creates designs for various audiences (students, parents, vendors). Skills and Knowledge: Time management. Attention to detail. Visual storytelling. Campus engagement. Preferred
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regarding research results. Preferred Qualifications: Experience with deep/graph neural networks and active involvement in data science and machine learning projects. Experience in multimodal data fusion (e.g
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studies curriculum: introduction to archival studies, intellectual foundations of archival theory and practice, archival appraisal, and archival representation, access, and use. Option to teach in other
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theories, principles and applications · Demonstrated record of scholarship · Demonstrated record of excellence in both online and face-to-face teaching at the postsecondary level · Demonstrated ability
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planning and management, summer or youth camps, public relations, leadership theory, personnel management, and/or recreation administration, preferably in a dynamic campus situation. Strong communication
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-quality, applied instruction in a variety of management disciplines. We seek a dynamic and experienced educator with a passion for student success and a commitment to bridging the gap between theory and
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, theory-based safety, and wellbeing education and programming focused on hazing prevention, bystander intervention, holistic wellness, and overall risk reduction within fraternity and sorority life