766 computational-physics "https:" "https:" "https:" "https:" "INRAE" positions at Northeastern University
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. Positions are available contingent upon enrollment, funding and departmental needs. Stipend rates per course. The Cooperative Education Program at the College of Professional Studies Course assignment and
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of this position include teaching lecture sections for undergraduate genetics and genomics, upper-level genomics, and an inquiry-based computational genomics course that gives students the opportunity to perform
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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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professionals with a desire to teach for the Bioinformatics Professional Science Master’s (PSM) Program depending upon the programs’ needs and enrollment. Key Responsibilities Responsibilities include
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well as commuting & 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
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program, and additional experiential opportunities and talent pathways. Work with other Northeastern teams, including faculty, Alumni Relations, Advancement, and the co-op teams, to ensure that employers
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, tuition 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
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counseling and advising students and families regarding the admission process, formal and informal presentations for both small and large groups of prospective and admitted students, and maintaining
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to complete the hiring process with HR. Join campus onboarding meetings for new faculty to provide a face for the program. Service (10%) Serve on committees that support the mission of the program
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computing systems design and realization, including machine learning (ML) and artificial intelligence (AI) applications including autonomy, sensing and communication, advanced manufacturing, and decision