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, University of Cambridge, Downing Place, Cambridge, UK . The appointed Postdoctoral Research Fellow is expected to visit and work together with the other three PIs and their team members - as well as a large
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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that unites leading researchers across Denmark and the University of Oxford (UK) to advance data-driven precision medicine by integrating large-scale register, clinical, and multi-omics data
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with large-scale biodiversity and environmental parameter samples. You will also produce educational training materials on the studies you conduct and publish in high-impact journals. You will develop
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Posting Details Posting Detail Information Working Title Clinical Sciences Postdoctoral Fellow – Open Pool FY26 Position Location Fort Collins, CO Work Location Position is fully in-office/in-person
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computational materials science techniques (DFT, MD, machine learning force field modelling) with data-driven approaches. Work with team to design and implement high-throughput experimental workflows for rapid
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
school holiday programs, and childcare facilities on campus. For more information, visit: https://services.anu.edu.au/human-resources About the College The ANU by 2025 Strategic Plan calls
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in Biodiversity Economics, which is in the Land, Environment, Economics and Policy (LEEP) Institute at the University of Exeter Business School. About you Using spatial and temporal data to analyse
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. The BCCVH and Dr. Bouchard prioritize patient-oriented research by forming close research collaborations with patient and community partners. Please visit our websites for more information about the BCCVH
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very good working knowledge of statistically packages such as SPSS, AMOS, Stata or R Experience of cleaning, recoding and cataloguing large and complex data sets suitable for time-dependent