11 computer-software Postdoctoral positions at Pennsylvania State University in postdoctoral
-
SPECIFICS The Penn State College of Medicine, Department of Medicine in Hershey, PA is seeking a Postdoctoral Scholar to join our newly established program, The Sleep-Vascular Program at Penn State led by Dr
-
interested in candidates with a strong Computing-oriented research profile, including expertise in cybersecurity, cryptography, secure systems, quantum software, quantum networking security, or post-quantum
-
optimization of quantum algorithms and quantum circuits, enabling more efficient and scalable quantum software development. Hybrid Quantum-Classical Computing for Scientific Discovery: Create hybrid quantum
-
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
-
languages and computational fluid dynamics software packages such as OpenFOAM and COMSOL Multiphysics. Expertise in reservoir engineering and phase-field modeling is also desirable. Interested candidates
-
research. The successful candidate will contribute to methodological innovation, computational implementation, simulation studies, software development, manuscript preparation, and grant-related research
-
software engineering skills are also required. Most importantly we are looking for a clear scientific leader with tremendous capacity to advance the field. This position has ample opportunity for mentoring
-
computational analysis of proteomics data is highly desirable. Experience with Python, R, or related scientific computing tools; proteomics software platforms; biological databases; data repositories
-
analysis capabilities. Computational resources include access to high-performance computing through Penn State’s Roar Collab system, along with licensed software such as MATLAB, ANSYS, Wolfram Mathematica
-
statistical modeling skills (e.g., longitudinal, multi-level, overdispersed) of large, messy datasets · Proficient with statistical programming software and languages (e.g. SAS, STATA, or R