767 postdoc-in-thermal-network-of-the-physical-building Fellowship positions in United States
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University of California, Berkeley, Physics Dept - Berkeley Center for Cosmological Physics (BCCP) Position ID: UCBerkeleyLBNL -Physics Dept - Berkeley Center for Cosmological Physics (BCCP
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or organic synthesis, cocrystallization, and materials characterization (x-ray diffraction, spectroscopy, and thermal). The position offers significant resources for professional development. The postdoctoral
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), among others. These projects build on strong collaborations between leading, highly-collaborative research teams composed of ultrasound and MRI scientists, engineers, physician scientists in Radiology
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. https://pai.seas.harvard.edu The postdoc is intended for one year but we anticipate there will be funding to potentially extend it to a second year. The postdoc will receive a generous salary as
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program is designed to empower recent Ph.D. graduates to conduct world-class research, publish in top-tier journals, and build a robust scientific network. By joining us, you will receive the mentorship and
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: The postdoc will be responsible for: 1. collecting thermal tolerance data to fill gaps in an existing physiological trait database, 2. performing literature searches to update body mass data in a global
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. This includes working with NIST staff and external partners on planning and executing experimental research to evaluate changes in mechanical, thermal, and electrical properties of polymeric materials used in
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to conduct world-class research, publish in top-tier journals, and build a robust scientific network. By joining us, you will receive the mentorship and support necessary to develop into an independent
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 17 days ago
(""postdoc"") is a professional apprenticeship designed to provide recent Ph.D. recipients with an opportunity to develop further the research skills acquired in their doctoral programs or to learn new
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regimes of deep networks. Basic Qualifications: A PhD is required. We seek candidates with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics