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candidates should submit a cover letter, a curriculum vitae, a short statement on research interests, contact information for three references, and a link to a Github repository or other coding sample
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) Demonstrated programming skills in C/C++, Python, R or comparable languages. Experience with AI-based coding tools such as Claude Code, Codex or Cursor. Evidence of research productivity through publications
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diverse energy actors (e.g. consumers, prosumers, utilities, and others). ODEON will be extensively validated in 5 demo sites, in Spain, Greece, France, Ireland, and Denmark (more info here: https
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University of California, San Francisco | San Francisco, California | United States | about 13 hours ago
antemortem medical history review for every incident out-of-hospital sudden death within the County of San Francisco. Learn more about the lab here, https://ziantsenglab.ucsf.edu/. The Clinical
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. Learn more about the Department of Drug Design and Pharmacology, https://drug.ku.dk/ Your job Specifically, we seek a talented computational and data scientist and team player to help develop
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with agentic coding tools and frameworks. • Record of peer-reviewed publications and effective collaboration across technical and scientific teams. • Experience with oncology or other clinical datasets
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comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures ( https://CGRlab.github.io/research/ ). About the research project We are open
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emerging research and scholarship. Our active GW Postdoctoral Association welcomes your engagement in social and professional activities as you join our research teams. Research guides, coding and data
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Engineering, hydrology/earth sciences, data science/applied statistics or similar. You enjoy juggling large amounts of data and working in a python-scripting environment with responsible use of coding
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, [email protected] Website: https://medicine.yale.edu/internal-medicine/vacs/ (Link is external) Introduction to the Research Group The Veterans Aging Cohort Study (VACS) has been based at Yale