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. Required qualifications: A Ph.D. degree in Computer Science, Data Science, Software Engineering or related field. Solid research experience with using Large Language Models. Solid programming expertise in
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Genetic Improvement of Dairy Cow Longevity, Using Large-Scale Body Weight Data from an AI-Camera ...
available from 01 January 2026 or later. You can submit your application via the link under 'how to apply'. Title Genetic Improvement of Dairy Cow Longevity, Using Large-Scale Body Weight Data from an AI
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media data using platform APIs and/or web scraping Analyse large-scale data using appropriate digital methods (flexible, but please specify) Present research at national and/or international events Lead
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experiment and data modeling approaches. Required qualifications PhD in molecular biology, biotechnology, bioengineering, bioinformatics, chemistry or related fields. 3+ years hands on experience with high
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&ProjectId=145537… Requirements Research FieldBiological sciences » BiologyEducation LevelPhD or equivalent Skills/Qualifications Experience with Danish health registries and large population-based data
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, the AI lab will foster collaborations across disciplines and push boundaries in analytical and generative AI for research data transformation. The Opportunity We are seeking a highly motivated AI Developer
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27 Oct 2025 Job Information Organisation/Company Copenhagen Business School Department Department of Organization Research Field Economics Researcher Profile Established Researcher (R3) Positions
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31 Oct 2025 Job Information Organisation/Company COPENHAGEN BUSINESS SCHOOL Research Field Economics Researcher Profile Leading Researcher (R4) Country Denmark Application Deadline 29 Nov 2025 - 00
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these new large-scale data sources to develop new approaches for analysis of microbial horizontal gene transfer using long-read metagenomics in complex environments. The postdoc will be part of the Microbial
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of cellular aging, resilience, and fibrosis. Responsibilities Develop and implement analytical pipelines for large-scale single-cell, spatial, and multi-omics data integration Build and apply machine learning