723 evolution "https:" "https:" "https:" "https:" "https:" "Linköping university" positions at Northeastern University in United States
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process values collaborative research and teamwork. The hire will be mentored for success, with mentoring teams and group guidance. In addition, a strong and effective faculty development strategy is part
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. To learn more about Northeastern’s unique academic environment and generous benefits, please see http://www.northeastern.edu/hrm/ . Core responsibilities include, but are not limited to: Conducting post
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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, color
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industry settings Proficiency in Python and modern AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, or similar) Strongly preferred: 5+ years of professional experience in AI/ML development
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fieldwork verification). Contribute to accreditation- and assessment-related activities across programs Partnership Development & Site Coordination Develop and sustain partnerships with clinical agencies
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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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& 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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& 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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medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All
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administrative tasks Support contract development and oversight with external partner organizations, academic institutions, and corporate customers Support development of forecasting models for all research