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. MINIMUM QUALIFICATIONS Knowledge and skills required for this position are normally obtained through a Bachelor’s degree in computer science, management information systems, project management, or a related
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year 2026-27 in addiction sciences. The successful candidate will conduct a research program involving human populations. Areas of research focus that are of interest include human behavioral
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Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field, with a focus on Deep Learning or Generative AI. Minimum of 5 years of industry experience in designing, developing, and
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driving record Must be able to read and comprehend blueprints Must have working knowledge of computers in a Windows environment, BAS systems, Computerized Maintenance Management Systems (Archibus preferred
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to express oneself clearly and concisely, orally and in writing. Strong computer skills, typing skills, and ability to learn new software Team and goal oriented Ability to exercise discretion in handling
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responsible for the vision, planning, and management of a residential life program for a residential population residing in traditional halls, co-op, special interest housing, learning communities, and graduate
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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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& 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 to race, religion
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The university supports staff maintaining a good work/life balance, offer flexible working and parental leave opportunities, an Employee Assistance Programme which provides free, confidential advice on both home
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Science Institute. The ideal candidate will conduct original research at the intersection of network science, communication, and media, and/or will advance computational communication research using network