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central role in generating new knowledge that informs curriculum development, challenge-based learning, research-led teaching and practice-led research. You will collaborate with senior academics, external
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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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Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 8 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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, 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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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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are looking for a research fellow to carry out R&D activities on the research directions of developing precursors to be converted into ceramic materials in different formfactors such as solid films and porous
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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
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Alliance for Agriculture and Food Innovation, you will develop and apply advanced quantitative genetics methods to improve genomic prediction of complex traits in soybean. As part of the UQ-led ARC Training
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of the relevant ARI research cluster. Given that a growing proportion of ARI’s funding is derived from external sources, preference will be also given to candidates with the potential to collaborate in developing
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College Cork to develop innovative modelling and analysis methods for complex infrastructure systems. The project will develop data-driven hybrid models that capture the interaction between physical