112 senior-lecturer-distributed-computing Postdoctoral research jobs at Rutgers University
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Transportation Center program. Position Status Full Time Posting Number 25FA0350 Posting Open Date 04/10/2025 Posting Close Date 01/05/2026 Qualifications Minimum Education and Experience Applicants must have a
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comprehensive benefit program to eligible employees. For details, please go to http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Rutgers Center for Advanced Infrastructure and Transportation
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://sites.rutgers.edu/cahbir/ ) provides a state-of-art facility for brain imaging research and centers the Rutgers-Princeton Center for Computational Cognitive Neuropsychiatry, the Rutgers Brain Health Institute and the
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benefit program to eligible employees. For details, please go to http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary Dr. Calvin Lai is looking to hire a full-time (with benefits
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Benefits Rutgers offers a comprehensive benefit program to eligible employees. For details, please go to http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Rutgers Center for Advanced
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Work Arrangement Union Description Post Docs - Regular Salaried Payroll Designation PeopleSoft Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum
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Hours 37.50 Daily Work Shift Work Arrangement Union Description Post Docs - Regular Salaried Payroll Designation PeopleSoft Seniority Unit Terms of Appointment Staff - 12 month Position Pension
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/benefits-overview . Posting Summary The Rutgers CEE Urban Informatics lab & The Infrastructure Resilience Group at Rutgers Center for Advanced Infrastructure and Transportation (CAIT) invite applications
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analyses. In addition, experimental and computational abilities for large datasets are highly desirable. The applicant must be able to comply with high standards of work ethics, regulations and rules
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academic partners to bridge the gap between cutting-edge computational models and practical manufacturing workflows. The ideal candidate has a strong background in process modeling, control, optimization