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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
related to the cannabinoid and neuroHIV fields, including behavioral pharmacology studies, in vivo calcium imaging studies, as well as studies that focus on harvesting of CNS tissue, and
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characterization of glycoside hydrolases, and a postdoc working on computational modelling of the same enzymes. The PhD focuses on ligand-observed NMR analyses and other relevant methods to provide insight
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research group with a broad interest in plant biomechanics, ecology, development and evolution. A supervisory team comprising a plant scientist, a cell biologist and a physicist, as well as two postdocs with
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scientists, cell biologists, bioimaging specialists and physicists, as well as a postdoc with a specific background pitcher plant development, transcriptomics and bioinformatics. Supported by this expert team
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Course location Hamburg Description/content The Cluster of Excellence "CUI: Advanced Imaging of Matter", which is funded by the German federal and state governments, combines projects in physics
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), the TRR404 offers several PhD and Postdoc positions with starting dates from April 1, 2025 onwards. All vacancies can be found here: https://cfaed.tu-dresden.de/trr-vacancies . For TUD diversity is an
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Your Job: The PhD project is methodologically independent, with the opportunity to contribute to collaborative efforts at the interface of data science, imaging, and materials research. You will
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collaborators and partners Requirements a Ph.D. degree in physics, and adequate postdoc working experience; strong theoretical/computational background in one or more of the following areas: twistronics & moire
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disease states. The candidate will also have the opportunity to work with state-of-the-art equipment such as a small animal radiation research platform (SARRP),cabinet irradiators, and in vivo imagers
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the Neurocritical care unit and austere environments including space flight. The current project will require the candidate to obtain several ultrasound images, measure, and categorize them with opportunities to be