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The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and
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Engineering, Biomedical Engineering, Medical Imaging, Signal Processing, Applied Physics, Computer Engineering, or a closely related discipline. Strong background in at least one of the following: ultrasound
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, including parsing and processing large document corpora. Strong understanding of machine learning or AI methods applied to health or biomedical data. Demonstrated ability to assess model outputs, identify
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quantum technologies with particle and fundamental physics, materials science, and biomedical applications through deeply coordinated, inter-institutional collaboration. Successful candidates are expected
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educational project created by the University of Southampton in collaboration with the NIHR Biomedical Research Centre and University Hospital Southampton. With children and young people at the heart
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 3 months ago
, biomedical engineering, computer science, epidemiology, or a related quantitative discipline. Demonstrated experience with large-scale human genetic data analysis (GWAS pipelines, QC, mixed models, population
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have completed PhD training in biomedical sciences, preferably in immunology, metabolism, cancer biology, epigenetics or microbiology. We are looking for an experienced and highly motivated scientist
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Profile of candidates/requirements: Essential: A PhD in neuroscience, cell biology, molecular biology, biomedical sciences or a related discipline or PhD dissertation due within 3 months of the application
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and conditions of employment. About us The Francis Crick Institute is Europe’s largest biomedical research institute under one roof. Our world-class scientists and staff collaborate on vital research
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field grows, as well as have an interest in cancer biology/ medicine more broadly. MINIMUM JOB QUALIFICATIONS: A Ph.D. in genetics, computational biology, statistics, computer science, biomedical