164 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Rutgers University
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Information Standard Hours 37.50 Union Description Post Docs - Regular Salaried Payroll Designation PeopleSoft Benefits Rutgers offers a comprehensive benefit program to eligible employees. For details, please
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comprehensive benefit program to eligible employees. For details, please go to http://uhr.rutgers.edu/benefits/benefits-overview . Position Status Full Time Working Hours (per week) Standard Hours 37.50 Daily
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Details Special Instructions to Applicants PLEASE SUBMIT COVER LETTER, RESUME, AND CONTACT INFORMATION WITH THREE REFERENCES. For questions, please contact: Emily Graybill, PhD Associate Professor GSAPP
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consistent with career stage. Must have strong oral and written communication skills; and ability to understand and proficiency in English to sufficiently perform the job duties. Must be computer literate with
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research program addressing important and fundamental questions. To support this effort, interdisciplinary and translational approaches are encouraged. Qualified candidates must be a recent recipient of a
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Internal Number: 255959 Position Summary: Rutgers School of Health Professions (SHP) is seeking a Postdoctoral Associate to work in their Health Informatics department. The primary responsibility
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/articles. Minimum Education and Experience: Postdoctoral Associate candidate should have a new or recent PhD degree and strong background in molecular biology and cancer biology. Candidates must provide
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the highest commitment to excellence in scholarship. Position Status Full Time Posting Number 25FA0633 Posting Open Date Posting Close Date 08/30/2025 Qualifications Minimum Education and Experience PhD degree
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Qualifications Minimum Education and Experience A doctoral degree in Industrial Engineering or a related field is required. Strong and demonstrated experience in data science and machine learning for large-scale
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a highly motivated Postdoctoral Associate in the Clinical and Affective Neuroscience Lab (Lab Director: David Zald, PhD), housed within the Center for Advanced Human Brain Imaging Research (CAHBIR