134 phd-scholarship-in-computational-material-science Postdoctoral positions at Princeton University
Sort by
Refine Your Search
-
Listed
-
Field
-
Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 271598471 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in
-
to excellence in education are encouraged to apply. A PhD in Materials Science, Optics, Physics, Chemistry, Electrical, Chemical, Mechanical, Civil or Bio Engineering or related area is required. We
-
incident angles for benchmarking and validation of theoretical calculations and computational physics and chemistry modeling of important surface processes occurring at plasma-material interfaces in fusion
-
, single molecule biophysics, biomaterials, materials chemistry, fluid mechanics, rheology, and computational modeling. Candidates should apply at https://puwebp.princeton.edu/AcadHire/position/38901 and
-
The Computer Science Department invites applications for postdoctoral and more senior research positions. Individuals with evidence of experience in scholarly research and a strong commitment to
-
). Candidates must have (or expect to soon receive) a PhD in materials science, physics, chemistry, electrical engineering, mechanical engineering, or related fields. Specific inquiries about the position may be
-
multidisciplinary approach comprising immunology, cell biology, developmental biology and computational biology to complement our primary tools from intravital microscopy. The postdoctoral scholar will have direct
-
, computer science, electrical engineering, applied mathematics, or operations research) before May 2025 are encouraged to apply. Ideal candidates will display outstanding ability for research and a record of
-
data-driven, computational approaches. Successful candidates will be willing and able to work across a breadth of disciplines - from genomics to computer science, sociology to psychology, engineering to
-
both research groups. The Atkinson lab focuses on using protein engineering, electrochemistry, and synthetic biology approaches to control gene expression and metabolism in microbes. The Avalos lab