45 computer-programmer-"Multiple"-"O.P"-"U" "NTNU Norwegian University of Science and Technology" Postdoctoral positions at Pennsylvania State University
Sort by
Refine Your Search
-
to the research program led by the Penn State numerical relativity group. There will also be ample opportunity to collaborate with other members of the Institute for Gravitation and the Cosmos, which includes
-
and computational studies of mechanics of materials, with an emphasis on fracture prediction. In addition, the postdoc will contribute to and/or lead manuscript preparation and project reporting
-
and policy recommendations. Qualifications: A Ph.D. in computer science, information science, sociology, labor studies, political science, or a related field by start date, awarded within the last five
-
SPECIFICS Postdoctoral Researcher in Defect Modeling The Pennsylvania State University Department of Nuclear Engineering The Computational Nuclear Materials Group (https://sites.psu.edu/cnmg/ ) at Penn State
-
focuses are: 1) Investigating the underlying molecular mechanisms by which 3D genome topology controls the hematopoietic transcription program and lineage differentiation in normal and malignant
-
APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply here, apply internally through Workday. CURRENT PENN STATE STUDENT (not employed previously at the...
-
learning preferred. Strong experimental and computational skills, with ability to work independently and contribute to collaborative research and publications. BACKGROUND CHECKS/CLEARANCES Employment with
-
satisfactory performance. Degree/Field of Study: PhD in fluid dynamics, geomechanics, computational geomechanics by start date with Penn State. Applications must be submitted electronically and include a CV
-
physics research under my supervision on topics including quantum many-body physics and quantum statistical mechanics. The research is expected to be partly analytical and partly computational in nature
-
. • Rich opportunities will be available for innovative equipment and process development, advanced materials characterization and deep collaborations with theoretical/computational efforts focused