9 postdoc-molecular-dynamics-simulation Fellowship positions at University of California
Sort by
Refine Your Search
-
field. Demonstrated ability to perform research that addresses fundamental science questions. Demonstrated experience with computational chemistry methods including density functional theory, molecular
-
Lawrence Berkeley National Lab’s (LBNL ) Molecular Foundry Division has an opening for a Postdoctoral Fellow – Microbial Genomics and Engineered Living Materials to join the team in collaboration
-
, machine learning or AI to computational modeling, simulations, and advanced data analytics for scientific discovery in materials science, biology, astronomy, environmental science, energy, particle physics
-
. Co-located with the Molecular Foundry, NERSC supercomputing center, and Berkeley Lab's materials and chemical sciences programs, it provides an ideal collaborative environment for innovative scientific
-
) -POSTDOC [#30377] Position Title: Position Type: Postdoctoral Position Location: Berkeley, California 94720, United States of America [map ] Subject Areas: Astrophysics / Astrophysics Cosmology/Particle
-
research into control theory of neural population dynamics. This position has the specific focus of developing ML methods to assess the feedback controllability of neural population dynamics recorded from
-
UCD Center for Labor and Community - Engaged Research Fellowship Project Coordinator (PROJECT POLICY
copy editing. This includes the ability to write concise, logical, grammatically correct documents and materials for academic and public consumption. Strong interpersonal skills to establish and maintain
-
vehicles. You will work with dynamic teams in multi-organizational consortia and carry out research activities focusing on synthesis, characterization and optimization of advanced cathode materials
-
to thermal cameras, audio recorders, air and other environmental samplers, and environmental sensors. Familiarity with the various contexts and settings related to investigations into wildlife disease dynamics