36 programming-"Multiple"-"Duke-University"-"U"-"O.P" "U.S" Postdoctoral positions at Pennsylvania State University
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medicine program is a collaborative research effort that offers many opportunities for scientific interactions and advancement. Duties include (but are not limited to): Designing and executing experiments
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computational skills, including numerical methods and scientific programming (Python, MATLAB, C++, etc.). Effective communication and collaborative skills. Preferred Qualifications: Experience with wide-bandgap
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. This position is intended to provide mutual support for the development of the Postdoctoral Scholar and their research program with opportunities for grant-writing and co-authorship of research articles, while
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electron microscopy, advanced image analysis and programming (e.g., scripting in Digital Micrograph, Matlab/Python). This full-time position is available as early as fall 2025, for a period of one year with
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. The successful candidate will work with Prof. Zhiqiang Mao on a quantum materials research program focused on the discovery and synthesis of novel quantum materials, including magnetic topological materials and
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. The successful candidate will work with Prof. Yinming Shao on a quantum materials research program focused on the optical studies of novel quantum matter, including topological materials and magnetic
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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
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mission is to conduct interdisciplinary research that contributes to the evidence base needed to inform successful childhood obesity prevention programs that can then be disseminated to public health and
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programming basics. Additional Information The start date is flexible, with September 1 2025 being the earliest date. Interested applicants should submit a pdf with a CV, a statement of research interests, and
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independently and collaboratively. Preferred Qualifications A strong background in AI/machine learning, mathematical modeling, and programming. Extensive practical experience in AV development, testing