96 software-formal-method-phd Fellowship research jobs at Harvard University in United States
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the Silver lab at Harvard Medical School in Boston Massachusetts. The work of the Silver ab is focused on engineering biological systems for health and sustainability. We welcome applications from recent PhD
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scholars who have recently completed their PhD in economics, business, psychology, public policy, political science, environmental science, statistics, or related fields, and whose research interests include
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, using an array of methods including natural language processing and experiments. This is a two-year position (one-year contract renewable based on performance). The primary criterion for acceptance is
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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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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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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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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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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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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