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a PhD in machine learning, math, stats, physics, or some other technical area by the time the position starts. Additional Qualifications Candidates should have significant experience in some area of
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on projects at the intersection of computational neuroscience and machine learning. This position is part of a multi-investigator grant on the role of memory in intelligence systems. The Postdoctoral Fellow
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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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protein coding genetic association data with functional and machine learning-derived features 4. Developing methods to characterize the genetic architecture of autism Salary and Benefits This position is
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upon job performance and continued availability of funding. Basic Qualifications PhD in Psychology or related field required by the appointment start date. Additional Qualifications Special Instructions
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welcome applications from recent PhD graduates who are interested in this or a related field, particularly those who may bring a new technology or perspective to bear on the work in the lab. The successful
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or analysis tools · Proficiency in, or a strong interest in learning computational data analysis. Additional Qualifications Special Instructions Required documents: · CV · Research summary of PhD work · Cover
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of immune cell niches. We welcome applications from recent PhD graduates who are interested in these or related fields, particularly those who may bring a new technology or perspective to bear on the work in
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position in biomedical informatics is available at Harvard Medical School to work at the intersection of advanced machine learning and large-scale biomedical data. The selected fellow will join a dynamic
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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 to the writing of grants and