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computational models of vision and machine learning methods (for example CNNs, deep generative models, encoding models) is preferred but not required Ability to communicate scientific results clearly through
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. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . Harvard Academic Workers Union
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Details Title Postdoctoral Fellowship in Power and AI Systems School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science/ Electrical Engineering
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Fellow) and mid-career scholars/senior scholars (as Visiting Scholar). Scholars who have secured their own funding for 2026-27 are welcome to apply. This is a full-time, immersion research appointment
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skills and attention to detail. Ability to excel in a collaborative, team-oriented, fast-paced environment is important. A willingness to learn new techniques and the ability to take on new roles as the
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research at the intersection of artificial intelligence, power system engineering, and energy economics, with a focus on accelerating energy system transformation. The position will be housed in the Salata
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regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented
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and leading data analyses across the study components; ability to manage virtual meetings and frequent travel to the project sites is required; (3) design intervention materials, training content, and
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students, staff, and volunteers who contribute to these efforts. Ability to manage virtual meetings and to travel as required to project sites, whether regional or national, is required. Start date: June 1
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are looking for candidates with interests in quantum mechanical condensed matter theory including: strongly correlated electron systems & mesoscopics, topological phases, ultracold atomic gases, quantum optics