91 parallel-and-distributed-computing-"Multiple" research jobs at Pennsylvania State University
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foundations, smart sensing, and recovery-focused programming. Responsibilities Conduct literature reviews on amphibious foundations, modular construction, and smart home technologies Develop and refine computer
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position. The student researcher will be asked to assist in computational polymers research. The successful applicants will assist in our work to explore digital representations of polymer aggregates
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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
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control techniques to supplement manual quality control processes. During the Fall 2025 semester, the student will work approx. 10-15 hours per week to program the necessary code to perform the analysis
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REQUIREMENTS The Department of Computer Science and Engineering is seeking part-time Research Assistant/Programmer to assist with robotics and machine learning research as well as data collection and data
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using CAE, CFD, and FEM, integrating empirical measurement and testing, and leveraging cloud-hosted computing to accelerate the process. Target fused filament fabrication (FFF) for rapid delivery
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REQUIREMENTS The College of Engineering invites applications for a part-time researcher within the Computer Science and Engineering Department. We are seeking a talented and motivated computer science graduate
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REQUIREMENTS The STEM Inc. program at Penn State Abington seeks part-time workers as research assistant in various scientific disciplines including chemistry, Biology, computer science and IT tech. during Fall
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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
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relevant to our research program by the time employment starts. The individual should be self-motivated and is expected to lead their own individual projects, as well as contribute to collaborative research