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: https://www.nathlab.org As a successful candidate, you will: Collaborate closely with experimental scientists, mathematicians, and medical oncologists/surgeons to plan, design, and execute computational
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Genomics at Harvard Medical School Several positions are available in the Park Lab (https://compbio.hms.harvard.edu/ ). The aim of the laboratory is to develop and apply innovative computational methods
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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(http://vanallenlab.dana-farber.org/) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts
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: https://faculty.medicine.iu.edu/relocation . The search will continue until the positions are filled. Basic Qualifications Required Qualifications: Ph.D. (by start date) in Computer Science, Biomedical
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progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and
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of QRI Fellow Mentors can be found here: https://quantum.umich.edu/fellows/ . Open to all quantum science and technology disciplines, including spectroscopy, photonics, devices, sensing, computation
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unify programs and curricula in data science with an initial emphasis on questions grounded in data that are generated by human activity, including computational social science (e.g., algorithmic
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learner, analytical thinker, creative, "hands-on", team-player. ? Experience with computational analysis, algorithm development and statistics. ? Proficiency in at least one modern programming language
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clinical datasets, with exposure to advanced computational tools and professional development through collaboration with multidisciplinary teams. Candidates with interests in clinical research, pediatric