629 computer-security "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Northeastern University
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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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for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https
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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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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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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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benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https
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& 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 receive consideration
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obtaining and maintaining licensure to practice law in the Commonwealth of Massachusetts, which must be secured no later than the end of the first year of employment. Documents to Submit: Curriculum Vitae
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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
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collaborate with academic and industry partners of EAI. Minimum Qualifications: An MS in computer science with a heavy focus on machine learning and LLM-RAG construction and development by the appointment start