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data to calculate displacement Coding skills in Matlab/Python for processing/analysing data measured in the field Experience with working with public bodies to get access to historic bridge data
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. The lab maintains a wide academic network and collaborates extensively with industry, especially through externally funded European research projects. Key objective of the position: To advance foundational
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practices in code development and maintenance (e.g. Github/Gitlab, GitHub Actions, etc). Experience with machine learning or network-based approaches is desirable. Familiarity with FAIR data principles and
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applications would be particularly beneficial, although not essential. In addition, experience in artificial intelligence, cloud computing, sensor networks and/or data visualisation would also be highly
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opportunity to join a multidisciplinary team at the intersection of AI and neonatal healthcare research, in a world leading network on research for improved newborn care. The candidate will collaborate with
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, publications, conference presentations, code etc. Have a proposal which is within the AI in Science research remit. Fellows will join the Eric and Wendy Schmidt Network of researchers and will join a unique co
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satisfy the enrolment requirements for the PhD programme at the University of Bergen. We can offer: a good and professionally stimulating working environment including a comprehensive network of
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. Situated in the heart of Singapore’s Singhealth Academic Medical Center, Duke-NUS offers postdocs access to advanced core facilities, integration with national clinical networks, and a uniquely collaborative
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inflammatory bowel disease (IBD) which is located on chromosome 5. The associated locus lies within an uncharacterised long non-coding (lnc)RNA and exhibits strong activation-dependent enhancer activity in
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Organization U.S. Department of the Interior (DOI) Reference Code DOI-USGS-2025-17 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete