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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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large scale flow network simulations, machine learning, and methods from topological data analysis, to a broad set of problems. Examples include modeling vertebrate and invertebrate circulatory systems
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statistical techniques that leverage large datasets, heavy computational capabilities, and/or a robust understanding of biological systems to provide unique disease insights. The lab has state-of-the-art
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are seeking a postdoctoral researcher with experience in analysis of large datasets to examine pre- and post-diagnosis healthcare utilisation among patients with cancer in Luxembourg using insurance claims data
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Post Doctoral Researcher in Human-centred Large Language Models for Software Engineering, Departm...
. 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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biological processes by developing theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex experimental datasets
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seeking enthusiastic, full-time post-doctoral Flatiron Research Fellows to work on information processing in biological networks and nonequilibrium thermodynamics of living systems. Current areas
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to inspire large, complex teams. Strategic credibility and experience partnering with diverse stakeholder groups across multiple sectors are crucial. Ideally, candidates will have expertise in fusion and
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organization, bridging the gap between microscopic detail and large-scale behaviors, and providing natural continuity between our groups' efforts. CCB currently comprises more than 45 research and data
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frontier models for biomolecular systems, (ii) AISB (AI Structural Biology Network) for training federated models on proprietary pharmaceutical repositories, and (iii) OpenBind for large-scale data