661 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at Northeastern University
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Resources Internal Number: 6808823 Marine and Environmental Sciences Part-Time Lecturer About the Opportunity The Part-Time Lecturer will develop and teach a semester-long course and complete grading
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applicants to teach Human Services undergraduate courses in one or more of the following fields: expressive arts, art therapy, and advocacy/activism. Positions are available throughout the year contingent upon
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Humanities seeks applicants to teach courses for one of the degree programs within the School of Public Policy and Urban Affairs, such as, but not limited to, Urban Planning and Policy; Public Administration
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demonstrable background in machine learning including published work. Must have demonstrable experience in building AI models for directed evolution of proteins and protein function prediction and optimization
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models. The role also requires significant experience in classical machine learning methods such as decision trees, gradient boosting machines, and both shallow and deep learning networks. A demonstrated
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to learn Federal Acquisition Regulation (FAR), Defense Federal Acquisition Regulation Supplement (DFAR), the Planning, Programming, Budgeting, and Execution (PPBE) process, and Program Objective Memorandum
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& transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion
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About the Opportunity The College of Science at Northeastern University is looking for part-time lecturers to teach a graduate course, called EESC-6500 Pathways to Professional Success , for Fall
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About the Opportunity The School of Nursing, Fall River campus, is seeking part-time faculty to teach theoretical courses including didactic and/or skills laboratory courses in the following areas
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University’s signature approach to experiential learning with liberal arts education, interdisciplinary research, and community engagement, both locally and globally. The College comprises 17 academic units