93 software-formal-method-phd Fellowship positions at Harvard University in United States
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learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools. The successful applicant will be expected
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the PhD no earlier than July 31, 2021. For candidates who will have completed the PhD within twelve months of the August 1, 2026 start date, verification of completion of the degree will be required prior
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interpersonal and communication skills. While not a must, a strong background in computational methods and/or statistical methods is a plus. Special Instructions Applicants should submit a formal application and
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welcome applications from recent PhD graduates interested in this field. The successful candidate will work to develop an independent research project within the scope of the lab’s research focus. In
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lab group meeting (journal readings, in progress research talks, visiting speakers), and helping affiliated PhD and undergraduate students gain access to and work with the Cebu data. The Postdoc will
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welcome applications from recent PhD graduates interested in this field. The successful candidate will work to develop an independent research project within the scope of the lab’s research focus. In
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Objective of Postdoctoral Fellowships The objective of PFs is to support researchers’ careers and foster excellence in research. The Postdoctoral Fellowships action targets researchers holding a PhD
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inthe Livingstone lab at Harvard Medical School in Boston Massachusetts. The work of the lab is focused on primate inferotemporal cortex. We welcome applications from recent PhD graduates who
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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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welcome applications from recent PhD graduates who are interested in these or related fields, particularly those who may bring a new perspective or new technological expertise to bear on the work in the lab