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Flatiron Research Fellow, Biological Transport Networks, Center for Computational Biology Description The Center for Computational Biology (CCB) of the Simons Foundation 's Flatiron Institute is
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. graduates and doctoral candidates nearing graduation who have research interests in applied statistics, machine learning, or computational biology to apply for our postdoctoral fellows program. Located in
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computational modeling, in vivo biological assays, and radiation physics and engineering approaches to define the mechanisms and optimal radiation dosimetric parameters by which FLASH-RT mitigates radiation
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call. This programme is open to early-career researchers from all disciplines, including Humanities, Social Sciences, Natural Sciences, Health Sciences, and Engineering. Based at the University
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. This unique program brings together expertise in cancer care delivery research (Dana-Farber’s Center for Outcomes and Policy Research), along other Population Sciences pillars (DFCI’s cancer genetics, health
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that combines molecular biology, computational biology, structural biology and chemistry with various ‘Omics’ techniques such as proteomics to study the pathways and protein complexes involved in the regulation
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-performance computing clusters (>105,000 processors). This unique interdisciplinary environment emphasizes the integration of AI in life sciences, offering an outstanding platform for recent Ph.D. graduates
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collaborative research environment that brings together computational scientists, clinicians, and biomedical researchers to address pressing challenges in precision medicine and biomedical data science. QBRC is a
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and Engineering Information Technology in Artificial Intelligence Sustainability Science and Technology Mathematics Program Highlights: Recipients will be awarded the Westlake Fellowship that includes a
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towards our goal through our research themes of computing tools, revolutionary experimental data, and science education and research. Preference will be given to applicants in the core QCB research areas