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will help increase the material recovery rate in the LIB recycling process and reduce waste and carbon footprint in the battery value chain. By returning waste to battery manufacturing, the project will
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on scientific problems, whether biomedical or other, and to applicants with a strong record of scientific productivity. The successful applicant must have a Ph.D. in Computer Science, Data Science, Statistics
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Job Type/Hours per Week Full Time Hiring Department Biomedical Research – Section 7 Location UT Tyler Health Science Center Required Application Materials A single PDF or Word document containing a
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to therapies and vaccines against human diseases. We are a team of highly interactive investigators that have expertise in immunology, molecular biology, virology, microbiology, structural biology, computational
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recruitment strategies for a novel prostate cancer screening study. Prostate cancer is the second commonest cause of cancer death in men in the UK. Currently there is no NHS screening programme, with men
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and conduct consultations with key informants, including preparation of documents and presentations Draft project report and associated presentation materials. Manage data and all project-related
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at the Research Assistant Professor level. Anticipated start date Autumn 2025 or Winter 2026. A successful candidate is expected to develop an independent research program. This position will use skills including
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candidate with a strong background in computational fluid dynamics (CFD) and specialized expertise in hemodynamics associated with coronary artery disease (CAD). The ideal candidate will hold a PhD in
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 month ago
USNH Employees should apply within Workday through the Jobs Hub app The Department of Civil and Environmental Engineering in the College of Engineering and Physical Sciences at the University
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
-generation bioprocesses that contribute to the green transition, building robust microbial cell factories capable of converting low-cost, sustainable feedstocks into valuable biochemicals and materials