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tissue imaging, spatial multi-omics, and AI-driven analytics. The successful candidate will lead projects aimed at dissecting the molecular and cellular mechanisms that govern tumor progression
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systems or autonomous AI frameworks · Solid foundation in computational biology · Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX) · Strong analytical, problem solving, and communication
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of health care markets. The fellow will also have time for their own complementary research, and we will facilitate access to our data sources in support of their research. The fellow will be supervised by
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, analytical, organizational, communication, and decision-making skills Contact Information: For questions , please contact Maria LoSurdo at mlosurdo@hsph.harvard.edu. Contact Email: mlosurdo@hsph.harvard.edu
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focusing on multi-omic integration analytics, machine learning, and/or AI. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute
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research related to mental health and addiction services utilization and quality of care. Experience working with Medicaid, Medicare and/or commercial claims data, a deep understanding of analytical methods
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: Proven track record of research excellence, as demonstrated by publications in top peer-reviewed journals. Skills: Strong analytical and problem-solving abilities, excellent communication skills, and the
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data. The work will incorporate comparative evolutionary biology using extant plants populations and Herbaria collections. The opening is for a postdoctoral fellow with expertise in one or more of the
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,” and we love challenges. For more information, discover our technologies , catch up on our recent news , or watch our latest videos . About this Role: The Wyss Institute for Biologically Inspired
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, Medicare and/or commercial claims data, a deep understanding of analytical methods and statistics, and advanced programming skills are therefore desired. The role will also involve preparation of graphical