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, the candidate will engage with U.S. ATLAS program office and management team to insure the continuation of the University of Pittsburgh's participation in software development and support on behalf of the ATLAS
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 2 days ago
Job Code: ITC20260323 Job Offer from March 23, 2026 The Max Planck Institute for Political and Social Science in Göttingen conducts interdisciplinary research into pressing issues of social and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
https://unc.peopleadmin.com/postings/283439 Department Contact Information Department Contact Name and Title Lauren J. Andrews, HR Consultant Department Contact Telephone or Email lauren_andrews
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. You will have evidence of post-qualification research experience, research experience in the analysis of large biomedical or biobank datasets, a proven ability to code and a strong publication record
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Development, training and calibration of an educational AI agent for automated annotation, coding and labeling support for transcribed interviews and other qualitative text data. Operationalization and
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experience, and career goals Transcript (unofficial is acceptable) Sample code (optional) Sample paper (optional) Shortlisted candidates will be contacted for an interview and a coding task. Applications will
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, econometrics or another relevant field. You will have substantial relevant research experience in complex trait genetics, a proven ability to code and a strong publication record. If no suitable applicant is
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on the U.S. energy sector. Our research seeks to inform public and private decision-making on issues such as electricity system planning, energy resources and delivery, new large loads, reliability
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, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth. At NLR, you'll find a mission-driven
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and deploy advanced deep learning and foundation models for surgical scene understanding segmentation, tracking, and operator assistance. You will write, test, and optimise Python and C++ code for real