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in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD (or near completion) in a relevant subject area (including Computer Science, Engineering
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technologies. The research work will be conducted in close collaboration with PhD-students and researchers working with power electronic devices within the competence center for III-Nitride technology C3NiT and
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involving 3 postdoctoral researchers and 3 PhD students, plus an administrator, and hosted in the Centre for Culture and Everyday Life (CCEL) in the Department of Communication and Media. The project
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computational design and in vitro experiments, the team has developed multiple in silico and in vitro methods to design novel antibodies and nanobodies as diagnostic or therapeutic agents and research tools. In
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for interdisciplinary research. The research program of ACER is multidisciplinary, with faculty members from backgrounds in Chemistry, Physics, Chemical Engineering, and Environmental Engineering focusing on different
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phenotypes, and high-performance computing infrastructure. Applicants must hold a PhD in human genetics, genetic epidemiology, biostatistics, computational biology, or a related field, with a strong
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involving 3 postdoctoral researchers and 3 PhD students, plus an administrator, and hosted in the Centre for Culture and Everyday Life (CCEL) in the Department of Communication and Media. The project
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Master’s degrees (or equivalent) in Computer Science or a related discipline. Candidates at the PDRA level must have recently completed, or be nearing completion of, a PhD in Computer Science or a cognate
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
associate to investigate innovative methods for linking environmental data, clinical research data, and EHR and other real world data in a secure cloud environment to support biomedical research. Specifically
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experimentation, advanced metallurgical characterization, and computational modeling for quantification of materials properties related to weldability and printability, and for alloy development and compositional