25 parallel-computing Postdoctoral positions at Pennsylvania State University in computer-science
-
motivated researcher to develop a strong independent research profile at the interface of Bayesian statistics, clinical trial design, optimization, computational statistics, and/or translational cancer
-
Technology, Human-Computer Interaction, or a closely related field Demonstrated experience conducting empirical research in educational or community settings Strong writing, collaboration, and project
-
. JOB DESCRIPTION AND POSITION REQUIREMENTS: Job Description A postdoctoral scholar position is available in the Computational Electromagnetics and Antennas Research Laboratory (CEARL) in the Electrical
-
candidates, especially those with experience in electrochemistry, reaction kinetics, and flame composition measurements The ECEC, directed by Prof. Chao-Yang Wang, is a multi-disciplinary research program
-
a strong background in Biochemistry, Mathematics, and/or Mechanics (experimental and computational methods (use of OpenFOAM and/or COMSOL)) are welcome to apply. Experience in blood and animal
-
with the Director of the Engineering Ambassadors program and Leonhard Center staff to coordinate and support program implementation. Responsibilities related to the outreach initiative include working
-
artificial intelligence, advanced battery manufacturing, battery prognostics, and battery recycling. The successful candidate is expected to develop rigorous modeling, computational, and/or experimental
-
role in both the scientific application and open-source software development of UXarray, a Python package that extends Xarray to provide native support for horizontally unstructured computational meshes
-
collaborations with theoretical/computational efforts focused on materials growth. Requirements include: a Ph.D. in Materials Science and Engineering, Nanomaterials, Nanotechnology, or a related field by the time
-
Duties: Perform and analyze ReaxFF reactive molecular dynamics simulations on 2D-material growth Connect the results from these simulations to data science methods and Computational Fluid Dynamics Perform