583 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Nature Careers
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) Experience in genomics, single-cell data, or machine learning (preferred) Why this is exceptional Build next-generation AI models of the human genome Work with one of the richest longitudinal PD datasets
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human health. Within this mission, the Funke group is developing machine learning methods for automatic and semi-interactive analysis of biomedical image datasets, concretely: (1) semantic and instance
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human health. Within this mission, the Iorio Group works at the intersection of computational biology, functional genomics, and precision oncology, integrating machine learning, large-scale CRISPR
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and workflows, incorporating AI/ML approaches where appropriate. Apply machine learning and advanced analytics to variant prioritization, disease association, and multi-omics data integration. Curate
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, machine learning, data science, neural engineering, computational neuroscience, and physiological data science relevant to anesthesia, perioperative medicine, pain, and critical care. The appointment will
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)medical data, applications of artificial intelligence and machine learning. You contribute to high-quality teaching in bachelor and master years of several training programmes in the faculty of Medicine and
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. The successful candidate will be employed at the Department of Computer Science of the University of Luxembourg and have access to high-performance computing resources suitable for large-scale machine-learning and
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or other large-scale biological data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of biomedical datasets, focusing on single-cell
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collaborators. With the help of statistics, machine learning and pathway- and network- and analyses, the goal is to improve the mechanistic understanding of disease- and treatment-associated alterations in
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methodology. Applying AI and machine learning (ML) tools (including Python, R, and possibly other languages) to test and evaluate biomedical hypotheses. Developing benchmarks and working together with staff