743 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" positions at Northeastern University
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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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& 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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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, color
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Engineering and Electrical and Computer Engineering, including but not limited to navigating the contract process and understanding the requirements for different payment types and requests for Chemical
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are also expected. Qualifications: Ph.D. in French applied linguistics, pedagogy, literature, cultural studies, or a related field in hand by the employment start date. Ability to teach French language and
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. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All
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About the Opportunity Job Description Summary: Individuals are sought to teach 1) graduate courses in science and technology relevant to the biotechnology field specifically to biopharmaceuticals
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outputs, and other scholarly measures of impact. Strong demonstrable background in machine learning including published work. Must have demonstrable experience in building AI models for directed evolution
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-Time Lecturer will teach undergraduate or graduate courses in Physics, participate in departmental meetings, administer exams to students, and hold appropriate office hours. QUALIFICATIONS Master’s
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interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities may include