636 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" uni jobs at Northeastern University
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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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employees. 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
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About the Opportunity Responsibilities: Teach courses in our marine science curriculum. In addition to presenting course material in lecture, instructors are also required to present an immersive
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LexisNexis and Westlaw, and Microsoft Office Suite Familiarity with Massachusetts family law and U.S. immigration law and procedures Commitment to protecting the rights of and advocating in the interest
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, and academic needs of first-year residential students. This position serves as a vital member of the Residential Life team, creating positive and valuable experiential learning opportunities that aid
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, the college collaborates across the university, the Northeastern network, and partners around the globe. Responsibilities: Teach undergraduates related to one or more of the following areas: Globalization and
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infrastructure being built by USC Information Sciences Institute and Northeastern University Khoury College of Computer Sciences. This research infrastructure will offer access to an unprecedented variety
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design and realization, including machine learning (ML) and artificial intelligence (AI) applications, autonomy, cognitive and distributed sensing and communication, advanced manufacturing, and decision
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opportunity to teach in the area of pharmaceutical industry, and translate their experience for students into the classroom. Additionally the position will work within the pharmaceutical industry fellowship
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health, and artificial intelligence; investigate AI applications for personalized music therapy and brain health interventions; and explore machine learning approaches to understanding musical cognition