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Details Title Postdoctoral Fellowship in Reinforcement Learning, Probabilistic Methods, and/or Interpretability School Harvard John A. Paulson School of Engineering and Applied Sciences Department
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of design and innovation on value creation for stakeholders. For more information on D^3/LISH , please visit https://d3.harvard.edu and https://d3.harvard.edu/lish/ . Research Focus: Postdoctoral Fellows
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Qualifications Postdoctoral fellow in visual neurophysiology and deep modeling — Ph.D. or M.D./Ph.D. in neuroscience, biomedical engineering, computational neuroscience, physics, psychology, or related field
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the importance of design and innovation on value creation for stakeholders. For more information on D^3/LISH , please visit https://d3.harvard.edu and https://d3.harvard.edu/lish/ . Research Focus
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https://d3.harvard.edu and https://d3.harvard.edu/lish/ . Research Focus: Postdoctoral Fellows at D^3 will conduct research at the intersection of innovation, digital transformation, and artificial
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problems that no other institution can match. When you work at Harvard Kennedy School, you make a difference. Job Description Emerging Technology, Scientific Advancement, and Global Policy (ETSAGP
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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 the lab. The successful candidate
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scientific development and for contributing to pioneering research. Specifically, the fellow will apply as well as develop code to process and analyze mycobacterial molecular and phenotype data. Including code