707 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" positions at Northeastern University in United States
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. donation requests), financial aid, eligibility, squad lists, amateurism. Develop and implement a comprehensive rules education program for student-athletes, coaches, staff, alumni, and external constituents
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programming, data analysis, manuscript preparation, meeting with collaborators, mentoring graduate students, etc. In particular, the ML Engineer hired for this position will work with Benjamin Gyori at Khoury
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support our NASPAA-accredited Master of Public Administration program. Given our Arlington location, emphasis on federal agency leadership, congressional relations, and executive branch management
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the areas of job evaluation, market analysis, pay equity, state/federal pay compliance and position management. Introduce a redesigned compensation program with a new grade scheme, salary ranges and job
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of advancing the leadership giving program at Northeastern University. The Assistant Director, Leadership Giving will work in close collaboration with University Advancement and college and unit staff to
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, that will work halftime with the NU Public Evaluation Lab (NU-PEL) on the evaluation of the Boston Area Youth Direct Cash Transfer (BAY-CASH) program and half-time with Dr. Jonathan Zaff on a research
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and the Bouve College of Health Sciences. Responsibilities: Teach and develop on-line or on-campus courses in the Health Informatics graduate program. Qualifications: Master’s degree required. Ph.D. in
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communication programs on relevant legal trends, issues, and regulatory matters. Participate on university and/or campus committees or working groups that support and advance the mission, goals, and aspirations
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infrastructure lifecycle management. ● Exposure to government-funded R&D programs. Documents required: Resume Cover letter Position Type Information Technology Additional Information Northeastern University
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. QUALIFICATIONS: The candidate should have hands-on experience in programming and software development, with proficiency in Python, JavaScript, and TypeScript. A solid foundation in machine learning, large-data