496 computing-"https:"-"IDAEA-CSIC" "https:" "https:" "https:" positions at Northeastern University
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Applied Data Science Postdoctoral Fellowship program. Under this program, postdoctoral trainees will be co-mentored by NU and JAX researchers working on priorities identified by both organizations. Projects
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About the Opportunity Job Summary The Global Compliance Program Manager drives efficient and timely execution of the ongoing global compliance workplan and related special projects. This position
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. MINIMUM QUALIFICATIONS Education: Bachelor's degree in fields such as Design, Human-Computer Interaction, Social Sciences, or Engineering Experience: 3-5 years in design, user experience, service design, or
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career coaching, program management and support for students, employers and alumni, primarily on the Boston Campus, but throughout the Northeastern University global network. They will provide
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-enabled career development tools Data fluency: ability to interpret employment outcome data, labor market trends, and program metrics to evaluate effectiveness and continuously improve programming Strong
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, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive consideration
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Systems, Computer Science, Business, Human Resources, Data Analytics, or a related field required. 3–5 years of progressive experience in HR data analytics, HR systems, reporting, or a related field, with
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fluency: ability to interpret employment outcome data, labor market trends, and program metrics to evaluate effectiveness and continuously improve programming Strong presentation, coaching, and
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commitment to supporting faculty, staff, and student environments. The candidate should possess a terminal degree in Nursing or related field, or matriculate into a terminal degree program before
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Statistics and MS Applied Mathematics programs. These courses are designed to help students apply mathematical, statistical, computational, and data-driven methods to real-world problems. The ideal candidate