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clinical trials, cancer genetics, immunology, epigenetics, machine learning, statistical software development, Bayesian methods, and alignment algorithms. Roles and Responsibilities Conducts research as an
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. The project is based on a close collaboration with researchers at the Department of Immunology, Genetics and Pathology (IGP) at Uppsala University and SciLifeLab . About the DDLS research program The PhD
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of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]; data management and analysis solutions that assist in storage
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& Responsibilities: Assists research studies with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical
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biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data driven. Will you be part of that change? Then join us
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
or acquisition, analysis and dissemination, and project administration. https://www.cpc.unc.edu/about/ Position Summary The Global Food Research Program is looking for an hourly temporary research assistant
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 13 hours ago
the University of North Carolina System since 1969. Department School of Health & Applied Human Sciences - 31530 External Link to Posting https://jobs.uncw.edu/postings/39159 Vacancy Number TSP5644PST Working
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Advanced Remote Sensing Technologies, under the project reference no. 2023.16642.ICDT/COMPETE2030-FEDER-00886500. The main objective of this research work is to develop algorithms and methods combining multi
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Sciences | Molecular Genetics Administration Dr. Shujun Ou's Laboratory at the Department of Molecular Genetics at The Ohio State University is seeking a Research Technician to maintain the transposable
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with the application of Algorithms, Artificial intelligence (AI), and Machine Learning (ML) methods to accelerate material discovery and design, optimizing manufacturing processes in nanoscience