724 engineering-computation-"https:" "https:" "https:" "UCL" "UCL" positions at Northeastern University
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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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. 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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assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will
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. Faculty are engaged in active clinical research and practice. A hallmark of our program is the integration of experiential learning and didactic education whether through use of standardized patients
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. Responsibilities Qualified candidates must be prepared to work with global student populations. The Master of Professional Studies in Applied AI is looking for part-time faculty to teach courses across the program
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to inform program adjustments and resource allocation decisions Implement and maintain technology systems that support efficient program operations and participant tracking Financial Management & Grant
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global student populations. Qualifications: The successful candidate will have a PhD degree in Music, Neuroscience, Psychology, Cognitive Science, Computer Science, Engineering, or a related field by the
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/or population-level. A successful candidate’s technology background may include artificial intelligence methods, health data forecasting, health informatics, or digital health. Candidates at any rank
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visualization, , database management systems, leadership and risk management in analytics, business support and predictive analytics. The mission of the Master of Professional Studies in Analytics program is to
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of computational materials discovery starting in Summer 2025 . Our group is seeking to discover novel materials for renewable energy applications using high-throughput quantum chemistry calculations and data-driven