193 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "UNIV" Fellowship positions at Harvard University in United States
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. Experience with computational text analysis, such as NLP methods, historical text processing, topic modeling, semantic change, or related techniques. Broad interest in cultural evolution, cognitive
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are on all meetings. Put research seminars into HKS HUB Events. Ensure ETSAGP-sponsored events are placed on the calendar Develop annual program of T&G Fellowship events and organize content of the events
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computer science, statistics, operations research, or related computational fields. As part of an interdisciplinary research team dedicated to advancing management science, the fellows will develop novel
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computational (bioinformatics) tools on human and mouse tissues and using in vitro methods on human cells, to explore the consequences of genetics variants on human biology. This is a multi-year position
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at the intersection of academia and practice. For more information on D^3, please visit https://d3.harvard.edu/labs . D^3 is looking for candidates with diverse backgrounds and/or new perspectives. There are no
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of our own evolutionary history, while domestication provides an additional window on brain-behavior evolution. The lab uses a variety of experimental and computational tools, such as structural and
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team. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/erapid-multiplexed-electrochemical-sensors-for-fast-accurate-portable-diagnostics/. What you’ll
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: Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area: Electrical Engineering / Applied Mathematics / Computer Science Position Description: Professors Le Xie and Na Li in
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the intersection of programming languages and artificial intelligence (PL+AI), in particular verification and large language models. Our main goal is to create a PL+AI system that is the best at verified program
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research and recent publications, see the Geometric Machine Learning Group’s website: https://weber.seas.harvard.edu/ . For questions, please email mweber@seas.harvard.edu Applications will be reviewed on a