132 computer-programmer-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" research jobs at Pennsylvania State University
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, prosecution, and sentencing, access to data and opportunity to develop relationships and opportunities for research collaboration with Penn State faculty. The CJRC (https://cjrc.la.psu.edu ) has an outstanding
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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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, to advance the technical readiness level of liquid metals for next-generation fusion reactors. Learn more about the research groups here: Prof. Xing Wang’s research group: https://sites.psu.edu/rdmap
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SPECIFICS The Borland Lab in the Department of Biobehavioral Health at The Pennsylvania State University (http://bbh.hhd.psu.edu/ ) is seeking applications for a Postdoctoral Scholar. The research involves
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Technology, Human-Computer Interaction, or a closely related field Demonstrated experience conducting empirical research in educational or community settings Strong writing, collaboration, and project
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SPECIFICS The Uzun Lab at the Penn State College of Medicine, Department of Pediatrics, Hershey, PA, is seeking a postdoctoral scholar in Bioinformatics/Computational Biology. Our lab’s research interests
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, Astrophysics, or a related field is required. Applications must be submitted electronically on Penn State's WorkDay employment site (https://psu.wd1.myworkdayjobs.com/PSU_Academic/job/Penn-State-University-Park
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interest. Fellows will work directly on research projects of CGNE-affiliated faculty, pursue independent research activities in line with their developing program of research, and engage in professional
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REQUIREMENTS Location: Port Matilda, PA (In-Person) Compensation: $20/hour Duration: Summer 2026 (with potential continuation during the academic year) Website: DREAM structures research group (https
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linked to oral health outcomes and health disparities. Apply and develop bioinformatic pipelines, statistical models, and computational tools to assess associations between microbial composition, oral