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Field
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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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. in genetics, cancer biology, computational biology, bioinformatics, computer science, systems biology, or a related field with relevant experience. Candidates from quantitative disciplines, including
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for drug target discovery, computational biology, advanced bioinformatics, and novel AI algorithms for identifying drug targets in complex diseases such as chronic kidney disease, idiopathic pulmonary
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computational methods and tools, including prior experience with algorithms relevant to computational biology, is a plus. ● Ability to work independently as well as part of an interdisciplinary team in a
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computational biology, data science, systems biology, biomedical engineering, and AI/ML, and present findings to internal teams, collaborators, and at scientific conferences. Work closely with the Principal
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, and epigenomic datasets with the goal of arriving at new insights around targetable biology and clinical biomarkers to advance the care of pediatric cancer patients. The mission of the Gillani Lab is to
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, simulations, and advanced data analytics for scientific discovery in materials science, biology, astronomy, environmental science, energy, particle physics, genomics, and other scientific domains. Fellows also
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developing/adapting computational models or algorithms to analyse biological data, and experience with single cell or spatial omics datasets or knowledge of cancer biology would be an advantage. What we offer
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29 Aug 2026 Job Information Organisation/Company Tokyo University of Science Department Division of Molecular Biology of Aging, The Research Institute for Science and Technology (RIST) Research
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the fields of biochemistry, cell and structural biology, and biomedical research. With around 27 scientific departments and research groups and about 680 employees, the MPIB is one of the largest institutes