26 computer-programmer-"Nova-School-of-Science-and-Technology" Postdoctoral positions at Pennsylvania State University
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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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focus and 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
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collaboration and leverage University resources Communicate with internal management, program sponsors, and other stakeholders. Develop ideas and proposals for potential new programs Minimal requirements include
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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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particularly good fits for the program. While the RTP team primarily operates remotely, this role includes some required travel and in-person engagement to support relationship-building and policy engagement
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and policy recommendations. Qualifications: A Ph.D. in computer science, information science, sociology, labor studies, political science, or a related field by start date, awarded within the last five
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tools (e.g., light sheet fluorescent microscopy) and computational approaches to examine cellular resolution details in the whole mouse brain. Moreover, we use systems neuroscience approaches (e.g
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), and 3) developing digital 3D atlases and various neuroinformatics tools. We utilize high-resolution 3D imaging tools (e.g., light sheet fluorescent microscopy) and computational approaches to examine