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on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine/deep learning with GWAS/sequencing data and other types of omic
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performance analysis, graph-driven deep neural networks, data-efficient machine learning, self-supervised learning, reinforcement learning, online learning, and meta-learning with applications
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Wangensteen Historical Library of Biology and Medicine. The work of the Department is realized through the deep disciplinary expertise of its staff, who bring specialized knowledge related to evidence-based
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to support their learning and can develop to their greatest potential. The Associate Director will oversee and implement the accommodations process; lead the the design and implementation of a peer tutoring
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deep expertise and independent judgement. This position will handle questions from users as well as student and temporary employees. This position will move books through the facility, suggest
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to foster a supportive learning environment that aligns with the MSW program’s educational objectives and the practicum site mission and values, supports student professional development, and upholds
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groups, departments, and community partners. Campus Access and Secure Learning Spaces (5%) Manage building access systems that balance safety with student autonomy and ease of use, in collaboration with
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science process skills and experience facilitating learning activities that develop these skills in young people ● Excellent instructional skills and classroom management abilities ● Deep appreciation
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related field Strong oral and written communication skills Demonstrated motivation, initiative, and attention to detail Deep interest in translational neurotechnology, medical device development, and
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custodial work experience. Ability to shovel snow and perform (or learn to perform) project work such as carpet extraction, floor scrubbing, finish application, window washing, deep cleaning, etc. Ability