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cost savings in aerospace manufacturing. We aim to develop a life cycle-informed design approach that enables rapid assessment of the cost and environmental impacts of recyclable and recycled materials
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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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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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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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Qualifications: PhD in immunology, cancer immunology, autoimmune diseases, human genetics, molecular biology or biochemistry Experience in autoimmune diseases, preclinical animal disease models, multi-color flow
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motivated candidates for postdoctoral fellow positions within the Bureau’s hydrology research group. These fellows will be key members of an expanding research program focused on assessing Texas water
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operations, business affairs, as well as learner professional educational needs. Oversee, delegate, and assist with coordinating the development of program materials including educational and training
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to this position. Admission to the PhD programme For employment in the PhD position, you must be qualified for admission to the PhD programme at the Faculty of Humanities, Social Sciences and Education
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University of Hull. The successful candidate should have: PhD degree (or close to completion) in materials science and engineering, manufacturing or other suitable engineering disciplines. Research experience
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative