13 parallel-computing-numerical-methods "Simons Foundation" Postdoctoral positions at University of Kansas
Sort by
Refine Your Search
-
students to advance project goals. Provide technical guidance and mentoring on CFD, numerical methods, and high-performance computing workflows. 15% - Publication & Dissemination Prepare and submit
-
, graduate, and undergraduate students to advance project goals. Provide technical guidance and mentoring on CFD, numerical methods, and high-performance computing workflows. 15% - Publication & Dissemination
-
organic chemistry, including designing and synthesizing small-molecule probes. Experience with advanced data analysis methods or computational modeling. Prior experience in supervising or mentoring junior
-
31506BR Physics and Astronomy Position Overview The Department of Physics and Astronomy at the University of Kansas seeks to fill a postdoctoral researcher position in computational and theoretical
-
, materials chemistry, and biochemistry. Our research group develops methods to measure neuronal function with the goal of using these methods to understand mechanisms of neurological disease. As a Postdoctoral
-
, physical chemistry, materials chemistry, and biochemistry. Our research group develops methods to measure neuronal function with the goal of using these methods to understand mechanisms of neurological
-
. The successful candidate will support a broader research initiative focused on computational chemistry for sustainable energy solutions, including the development and application of Drude polarizable force fields
-
31248BR Molecular Biosciences Position Overview The IRACDA Program at the University of Kansas (KU) is accepting applications for postdoctoral scholarships. We are seeking scholars who are excited
-
% Research Conduct and oversee laboratory and/or computational research. Assist in mentoring and supervision of graduate and undergraduate students with their research. Analyze data associated with conducted
-
Assessment Program (AWQUA ) team. They will be jointly supervised by Erin Seybold (Assistant Scientist) and Scott Ishman (Associate Director/Senior Scientist) in collaboration with Tom Mueller (Assistant