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FTE role supporting the international FEVER II study. C-GULL is a large contemporary birth cohort following up to 3-4,000 infants. Nested within C-GULL, HBHF is investigating early predictors of anxiety
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by Professor Tonia Vincent. The successful candidate will contribute to STEpUP OA, a large international Consortium focused on understanding the biological mechanisms underlying osteoarthritis
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, root imaging) with biogeochemical, microbial, or environmental sensor data. Experience analyzing large datasets in reproducible formats (R, etc.) Demonstrated interdisciplinary and systems-level approach
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At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700 of them do research and teaching, around 3,000 work in
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investigating the biology of brain and ovarian aging and the connections between reproductive aging, systemic health, and longevity. These projects will integrate large-scale human datasets, including the UK
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 20 hours ago
on the safety of our people and missions in space. Such investigations, and related relevant topics, are the main targets of this opportunity and can span analytical investigations to data analysis to space
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. Experience with conjoint analysis (e.g., discrete choice experiments and best-worst scaling), experience with large scale survey and retail data, portfolio in substance use or other health-related areas, and
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18 Sep 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Economics » Other Engineering » Control engineering Engineering » Systems
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(45%) • Support statistical analyses of large data sets from an epidemiological cohort, investigating associations with birth outcomes using both targeted and nontargeted data (25%) • Support
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-performance computing, particularly in the theory of efficient string and data structures, sequence indexing, and large-scale data analysis. Experience with the Burrows–Wheeler transform, pattern matching, and