113 algorithm-development-"Newcastle-University"-"Newcastle-University" PhD positions at Nature Careers
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We invite applications for a four-year PhD position in the field of Organic Electronics, with a focus on the development of a novel light-emission technology, termed the light-emitting
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Primary Supervisors: Leonardo M. Díaz Nieto, Henk R Braig Duration: 36 months Project Description: The specific task of this PhD position is to develop a forensic air sampling method, protocol, and
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responsible for nanoimprint lithography (NIL) to ensure smooth integration of the developed nanomaterials into structured coatings. The project’s ambition is to realize retrofittable multilayered films
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established, the research group focuses on understanding how genetic alterations in cancer cells shape the immune microenvironment of brain metastatic tumors, with the long-term goal of developing novel
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core facilities and international collaborations Career development support and mentoring throughout the programme Eligibility and Requirements: Applicants must hold (or expect to obtain) a university
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to uncover how microbiota-derived metabolites influence the endothelial barrier function and neutrophil transmigration, with an emphasis on their implications in aortic disease development and progression. A
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“Research for a life without cancer" is our mission at the German Cancer Research Center. We investigate how cancer develops, identify cancer risk factors and look for new cancer prevention
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Luxembourg. The candidate will focus on fabricating copper/carbon composites for various applications, including lithium-ion batteries. LIST has developed a water-based process that uses functionalized carbon
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
dissecting how protein and glycan assemblies drive signaling and cell communication. Develop precision tools to selectively target disease-relevant assemblies, opening new therapeutic opportunities in cancer
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and physical principles of negative ion mode LC-MS/MS-based peptide analysis. The project combines method development and mechanistic exploration with downstream applications in proteome