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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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biological data. · Proficiency in R and/or Python for data analysis and visualization. · Experience working with large datasets in an HPC or cloud computing environment. · Demonstrated ability to work
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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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- 23:59 (UTC) Country Brazil Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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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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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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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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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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experimentation, advanced metallurgical characterization, and computational modeling for quantification of materials properties related to weldability and printability, and for alloy development and compositional
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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