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limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization
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, or a related field, or Ph.D. expected by May 2026. Demonstrated experience in at least one of the following areas: o Design and implementation of accessible lab/ field-work and related training programs
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2026. Demonstrated experience in at least one of the following areas: o Design and implementation of accessible lab/ field-work and related training programs; o Proficiency in human biological lab-based
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backgrounds in educational research, theory, and practice, but other specialties might be considered. The Postdoctoral Associate must be committed to using research as a tool for achieving equity. The Associate
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. Performs professional work requiring general knowledge and basic application and use of MRI, EEG, and TMS concepts, theories, terminology, and practices. Position Status Full Time Posting Number 25FA0927
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Hours Standard Hours 37.50 Daily Work Shift Work Arrangement Consistent with the current application of Rutgers Policy 60.3.22 or the applicable provisions of relevant collective negotiations agreements
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programs Position Status Full Time Working Hours Standard Hours 37.50 Daily Work Shift Work Arrangement This position requires a fully on-site work arrangement. Union Description Post Docs - Regular Salaried
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Employee and dependent educational benefits (when applicable) Life insurance coverage Employee discount programs Position Status Full Time Working Hours Standard Hours 37.50 Daily Work Shift Work Arrangement
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Employee discount programs Position Status Full Time Working Hours 37.5 Standard Hours 37.50 Daily Work Shift Day Work Arrangement This position requires a fully on-site work arrangement. Union Description
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are the following: Work with PI and others as assigned to develop a career development plan with training /educational goals for fellowship period. Develop, propose, and obtain approval for a mentored research