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scientific research institute integrating medical research, development and production of biological products, and postgraduate education. During the 66 years of development, we have established
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are building biophysical models of cell proliferation in developing embryos, organoids, and healthy versus diseased tissues. We train models to mimic real trajectories of proliferation, combined with other data
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Teaching and Research Positions (1) Qualifications Chinese citizenship is required. Applicants must demonstrate good political integrity, moral character, compliance with laws and regulations, and
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integrating complex genetic and molecular phenotype data into epidemiological datasets (pipelines); Working with epidemiologists and other colleagues in the Centre to help develop and implement methodologically
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at the intersection of machine learning, CRISPR screening data analysis, and multi-omics to uncover genetic interactions and synthetic lethalities in cancer. Develop and apply scalable, reproducible computational
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. You will develop methods to integrate diverse medical imaging modalities (e.g., X-rays, MRI, Ultrasound) with Electronic Health Record (EHR) data across heterogeneous cohorts and healthcare systems
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to present data at lab and departmental meetings and scientific conferences, prepare manuscripts, mentor junior lab members, and apply for external fellowships. We expect the candidate to be familiar with
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at the intersection of machine learning, CRISPR screening data analysis, and multi-omics to uncover genetic interactions and synthetic lethalities in cancer. Develop and apply scalable, reproducible computational