637 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" uni jobs at Northeastern University
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harnessing emerging technologies to advance human potential and solve the challenges of the future. Powered by experience-driven teaching, learning and research, CAMD believes that the fields of design
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candidate will teach on-campus and/or online graduate level courses in the Master of Science in Project Management – Construction Management concentration. This position is located at the Northeastern
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benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https
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About the Opportunity About Northeastern: Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned
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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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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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research advances our understanding of how people acquire, process, and share information in democratic societies and/or in the service of democratic norms. Academic rank at the Associate Professor and Full
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About the Opportunity Founded in 1898, Northeastern is a global research university and a world leader in experiential learning. The same commitment to connecting with the world drives our use
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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