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shares our values and who will support the mission of the university through their work. Qualifications: PhD in Materials Science and Engineering or a related field (e.g., physics, chemistry, chemical
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: · Education: PhD in Materials Science or similar. Knowledge in tech transfer will be highly valuable. · Knowledge: Advanced materials development Polymeric materials development, functionalization
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
requested or required to support the work of the research project. Minimum Education and Experience Requirements PhD in one of these fields: Computer Science, Data Science, Biomedical Informatics
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-scale multi-area in vivo neural recording, wireless electrophysiology in freely moving animals, custom-engineered sensory-motor behaviors, neural perturbation, viral labeling, and computation. Our work is
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at the intersection of quantum information science and fundamental materials physics. The research program focuses on understanding the fundamental limits of spin-based quantum sensors as probes of magnetic and
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the project. Qualified candidates should have: A PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as
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Temporary contract | 36 months | Belval Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology
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Applications are invited for a temporary post of a Post-doctoral Research Fellow Level 1 or 2 in Microbiology Imaging within UCD School of Chemical and Bioprocess Engineering. This postdoctoral
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Number 24FA0954 Posting Open Date Posting Close Date 01/07/2026 Qualifications Minimum Education and Experience Candidates shall have completed all requirements for a PhD in building sciences, engineering
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. Integrating HD-EMG decomposition algorithms with the CEINMS-RT musculoskeletal modeling framework to enable efficient real-time computation of joint kinetics. Developing and validating motor unit-driven