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University of California San Francisco | San Francisco, California | United States | about 2 months ago
cardiovascular diseases. More specifically, the role involves developing and utilizing computational tools and systems to analyze and interpret biological or other research data. Utilizes and develops algorithms
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 5 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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, or related field and relevant postdoctoral research experience Familiarity with algorithms for analyzing high-throughput DNA sequencing data Familiarity with versioning tools such as GitHub Experience with
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Department University of Chicago Harris School of Public Policy About the Department The Bike Shop seeks to solve society’s most pressing challenges by designing and scaling advanced algorithms
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working with large collaborative code projects Proficiency in applying AI-driven algorithms (e.g., neural networks, reinforcement learning) for the creation of surrogate models and the autonomous
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within the field of machine learning, search, and reasoning techniques. Demonstrable knowledge and/or experience in algorithms and programming is a must; Is able to translate and convert this knowledge
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at the interface of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim
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We are seeking to appoint a Postdoctoral Research Scientist in Statistics to join Professor Xin Lu’s group, with an affiliation with OPIG. The Lu Group (https://www.ludwig.ox.ac.uk/research/xin-lu
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of the analysis of in-situ experimental data in the field of non-destructive testing (digital image correlation, thermography and acoustic emission) development of algorithm-supported evaluation methods in
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English) and contact details of at least two referees through this form https://www.um.edu.mt/hrmd/workatum-projects by not later than Monday, 13th April 2026. Late applications will not be considered