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Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a multi
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field (e.g. statistics, computer science, or quantitative biology). Experience in the application and development of computational methods/tools or machine learning algorithms. Good computer programming
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-time systems (#54), AI, machine learning & data mining (#65), software engineering (#71), mobile computing (#18), and computer security (#88). In the last few years, students and faculty in
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broad range of research areas. We are interested in an experimentalist who can develop large datasets in support of emerging artificial intelligence and machine learning driven advances in fluid dynamics
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environmental engineering (candidate status) and a demonstrated record as a lead author on publication(s) using machine learning algorithms to forecast water quality. Fluency with open source coding languages (R
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, machine learning & data mining (#65), software engineering (#71), mobile computing (#18), and computer security (#88). In the last few years, students and faculty in the department have received
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recognized in research areas including data science, bioinformatics, machine learning, cybersecurity, computer vision, and computer systems. The department is housed within the Hankamer Building and the Baylor
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, machine learning, data modeling, computational linguistics, and cultural analytics. Candidates with PhDs from a wide variety of disciplines are welcome - the initiative is interdisciplinary and will involve
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beginning in the 2026-27 academic year. Qualifications We invite applications from those who hold a PhD (or equivalent) in the relevant field(s) or expect to complete the requirements for a PhD in the
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in Accounting beginning in the 2026-27 academic year. Qualifications We invite applications from those who hold a PhD (or equivalent) in the relevant field(s) or expect to complete the requirements