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experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be: highly motivated with a record of high scientific productivity, possess
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Institute or working on machine learning, artificial intelligence, or computational neurobiology at Harvard. A research proposal of no more than 3 pages (1500 words, exclusive of references) outlining plans
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an environment that is diverse, inclusive and respectful. Learn more about our lab here: https://bioniclab.seas.harvard.edu/ We are recruiting fellows from diverse backgrounds interested in solving tough problems
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an environment that is diverse, inclusive and respectful. Learn more about our lab here: https://bioniclab.seas.harvard.edu/ We are recruiting fellows from diverse backgrounds interested in solving tough problems
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fellow. The ideal candidate will have research experience in the economics of the auto market, especially electric vehicles. The one-year position will be under the supervision of Professor James Stock and
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Details Title Postdoctoral Fellow in Deep Learning Theory and/or Theoretical Neuroscience School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position
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allowance, as described below. Award Project Period Individuals may receive up to 5 years of aggregate Kirschstein-NRSA support at the predoctoral level (up to 6 years for dual degree training, e.g., MD/PhD
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of Public Health Microbiome Analysis Core is seeking a data analyst, either MSc or PhD level, for microbiome epidemiology and bioinformatics. The Microbiome Analysis Core, located in the Department
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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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machine learning methods for computational materials physics and chemistry. Projects include: 1. Scientific software engineering of machine learning potentials for large scale molecular dynamics. We