70 parallel-computing-numerical-methods-"Prof" Postdoctoral positions at Rutgers University
Sort by
Refine Your Search
-
. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, 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
-
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
-
- 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
-
. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, and
-
Internal Number: 260781 Minimum Education and Experience: Candidate must have a Ph.D. degree in an area relevant to climatology, geoscience, climate change, natural hazards, impact analysis, and/or numerical
-
Program (SERDP) (https://serdp-estcp.mil/page/415323e5-04d5-4783-ad11-5201a59f456d ). The project is a collaboration between Rutgers, Temple, and CDM Smith. The initial appointment will be for 12 months
-
epigenome dynamics in immune responses. By using genetic, genomic and biochemical methods, the individual will identify/analyze/characterize molecular determinants for chromatin looping in plants
-
-based treatments in the community. The training program is designed to impart the skills necessary for submitting successful career development awards. The emphasis on translational clinical research will
-
of areas including strongly correlated fermion materials, high-temperature superconductivity, topological electronic states of matter, developments and applications of computational methods