161 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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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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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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literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel and PowerPoint. Must be highly motivated, self-driven, creative, and interactive. Must have the
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. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel and PowerPoint. Must be highly motivated, self-driven, creative, and
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Posting Number 25FA0369 Posting Open Date Posting Close Date 01/05/2026 Qualifications Minimum Education and Experience A PhD or PsyD in clinical psychology or closely related field Experience working with
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and international conferences. Supervise undergraduate students. Supervise graduate students. Minimum Education and Experience: PhD in biomechanics, kinesiology, biomedical engineering, computer
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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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/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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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