70 computer-science-intern-"https:"-"Simons-Foundation" Postdoctoral positions at Rutgers University
Sort by
Refine Your Search
-
of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s
-
, computer science, or a related field. Expertise in causal inference and machine learning (in particular reinforcement learning), and strong experience with programming are desired.. Excellent communication and
-
discipline expertise and computational areas, such as data science, artificial intelligence (AI), machine learning (ML), generative AI and other technology innovations. Key details of this position include
-
- Child Health Institute Overview New Jersey’s academic health center, Rutgers Biomedical and Health Sciences (RBHS) takes an integrated approach to educating students, providing clinical care, and
-
- Regular Salaried Payroll Designation PeopleSoft Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience A PhD degree in Computer Science
-
discipline expertise and computational areas, such as data science, artificial intelligence (AI), machine learning (ML), generative AI and other technology innovations. Key details of this position include
-
Position Details Position Information Recruitment/Posting Title Post Doctoral Associate Department SEBS - Environmental Science Salary Details 63,968 Offer Information The final salary offer may be
-
date of May 2026 in Dr. Nicole Fahrenfeld’s group in Civil & Environmental Engineering at Rutgers University-New Brunswick (https://sites.google.com/site/nicolefahrenfeld/home ). The postdoc will lead
-
an anticipated start date of May 2026 in Dr. Nicole Fahrenfeld’s group in Civil & Environmental Engineering at Rutgers University-New Brunswick (https://sites.google.com/site/nicolefahrenfeld/home ). The postdoc
-
at the intersection of computational modeling, data science, and clinical medicine. The successful candidate will work closely with clinicians, intensivists, and computational scientists to develop