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Field
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material storage, and cold-chain logistics, offering a major step toward global energy reduction and carbon neutrality. Shielding radiative cooling systems from thermal losses, such as heat conduction and
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Details Title Postdoctoral Fellowship in Power and AI Systems School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science/ Electrical Engineering
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well as their relationships with China in the East and Europe in the West. The research project can be situated in any discipline or interdisciplinary position and can address any aspect of the movement of materials, knowledge
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Requirements: Have relevant competence in the areas of material science and chemical synthesis Have a degree in materials science/ chemistry. Possessing a Master’s or PhD degree will be advantageous with prior
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postdoctoral researcher with a strong background in neuroscience. The ideal candidate will have extensive training in their Ph.D. program and be capable of independently conducting research in the field
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Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, and thus requires
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Fellowship Program offers, on a competitive basis, short-term fellowships to facilitate research projects that substantively engage with Yale Library Special Collections materials. This application is open to
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 13 hours ago
Position Information General Information Position Number POST40 Working Title Postdoctoral Fellow - Computer Science Division Academic Affairs Department Coll of Computing&Informatics (Col) Work
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exploring new materials, technologies, and fabrication techniques to enhance the performance, flexibility, and scalability of health monitoring systems. The Research Fellow will collaborate with
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exploring new materials, technologies, and fabrication techniques to enhance the performance, flexibility, and scalability of health monitoring systems. The Research Fellow will collaborate with