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, and AI-driven computational biology. The successful candidate will develop and apply innovative computational methods to analyse large-scale multi-omic datasets, identify mutational patterns across
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to undertake complementary, ambitious two-year research projects in Statistical Ocean Acoustics. The programme will develop a deeper understanding of how spatial and temporal variability, coherence and
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Institute. Working closely with the Lotfollahi Lab – leaders in generative AI and foundation models for spatial and single-cell genomics – you will develop and apply state-of-the-art machine learning
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We are looking for a Research Fellow (RF) to work with Prof. Ning Yan (Department of Chemical and Biomolecular Engineering, NUS). Project Overview: This project aims to develop catalytic processes
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-year research projects in Statistical Ocean Acoustics. The programme will develop a deeper understanding of how spatial and temporal variability, coherence and uncertainty in the ocean environment affect
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analyses of single-cell and spatial omics to advance precision medicine. Dr Chen’s research team develops AI algorithms for spatial and single-cell omics, integrates publicly available datasets into a
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Assembly Job Quality Inspection”. The role will focus on research and development of AI algorithms for defect detection, image/video analysis and understanding Key Responsibilities: Develop artificial
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. The successful candidate will join an interdisciplinary research team comprising molecular biologists, bioinformaticians, physicists, and pathologists. The project aims to develop a biophysically interpretable
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Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 16 hours ago
toxicity. Integrate longitudinal clinical text, germline genetics, treatment exposures, laboratory measurements, and patient outcomes to characterize who develops immune toxicity and how these events evolve
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diverse range of organisations with expertise in research, capacity development and working with people and communities to deliver a step change in maternity outcomes and developing future research leaders