11 computer-software Postdoctoral positions at Pennsylvania State University in Postdoctoral
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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
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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
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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
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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
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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
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research. The successful candidate will contribute to methodological innovation, computational implementation, simulation studies, software development, manuscript preparation, and grant-related research
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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
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computational analysis of proteomics data is highly desirable. Experience with Python, R, or related scientific computing tools; proteomics software platforms; biological databases; data repositories
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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
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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