66 computational-physics-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions at Rutgers University
Sort by
Refine Your Search
-
, and Abilities Strong background in quantum chemistry, computational physics, machine learning or quantum information; Proficiency in scientific programming; Excellent communication and scientific
-
, environmental sciences, business applications, chemistry, and physics. The RAD Collaboratory offers a rich environment for collaboration with ample access to computational resources. Position Status Full Time
-
opportunities for collaboration with investigators affiliated with the Rutgers-Princeton Center for Computational Cognitive Neuro-Psychiatry ( CCNP ; https://ccnp.princeton.edu/about-ccnp/ ), including
-
Position Details Position Information Recruitment/Posting Title Postdoctoral Associate - Researcher in Exoplanet Sciences Department Physics & Astronomy Salary Details minimum salary per Postdoc
-
Biology, Computer Science, Statistics, Physics, Biomedical Sciences, or a related quantitative field or an M.D./Ph.D. / M.D. with a strong computational background. Consideration to interview will also be
-
required. Jain Lab website: https://thejainlab.org Position Status Full Time Posting Number 26FA0712 Posting Open Date 08/12/2026 Posting Close Date 08/12/2027 Qualifications Minimum Education and
-
new modeling approaches for coupling functional genomics techniques with computational analyses to understand gene regulation in health and disease. Such models are based on multi-omics high
-
campuses of Rutgers related to origins of life research, artificial intelligence methods development, evolutionary biology, and computational biology.Prof. Kaelber is recruiting a “dry lab” scientist
-
lineages follows a constrained developmental sequence and to model the evolution of body size using bounded evolutionary models. 3) Biomechanical and Hydrodynamic Modeling: Apply computational fluid dynamics
-
lineages follows a constrained developmental sequence and to model the evolution of body size using bounded evolutionary models. 3) Biomechanical and Hydrodynamic Modeling: Apply computational fluid dynamics