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gain expertise in stem cell biology, genome engineering, neural differentiation, and bioinformatic analysis while addressing fundamental questions about how chromosomal imbalances cause developmental
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large-language model applications in healthcare systems, systematically identifying ineffective clinical processes, bioinformatics analyses of population health, as well as more conventional outcomes
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics. Strong
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biology, bioinformatics, genetics, AI, machine learning, computer science, or a related field. Demonstrated experience analyzing single-cell and/or spatial genomics datasets is a plus but not necessary
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using cancer cell lines. A combination of bioinformatics and wet-lab approaches We welcome applicants with deep experience in molecular biology, neurobiology or cancer, RNA biology, and familiarity with
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have the capacity to conceptualize, motivate, design, and implement original research on consequential, policy-relevant topics, and be able to take a leadership role in the research process. The Fellow
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transplantation and to translate this knowledge into improved treatments. Required Qualifications: Individuals with a recent MD or PhD degree with skills in computational biology, bioinformatics, biostatistics
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. Coordinate and contribute to data analysis across case studies in multiple geographies Lead knowledge co-production process, including workshops and communication with communities, conservation practitioners
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of abnormal entanglement from normal platform motion and sea states is difficult. Entanglement data can be noisy and notoriously difficult to process in remote, deep ocean environments. Moreover, continuous
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techniques, and bioinformatics analysis is welcomed. The candidate is expected to work independently, as part of a team, and collaboratively with other researchers. An individual who demonstrates self