50 algorithm-development Fellowship positions at Harvard University in material-science
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participating in the development, evaluation, and implementation of task-shared mental health services in primary care settings and other community settings, with particular focus on serious mental illness
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third year; instrumentation fellowships will receive an additional one-time payment for material/development costs.
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-impact research at the intersection of autonomous AI systems, neural computation, omics and neurobehavior analysis. The position focuses on developing AI agents inspired by and applied to complex
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. They will also have the opportunity to work on other problems related to global atmospheric chemistry, air quality, and model development. Basic Qualifications Ph.D. in atmospheric science and substantial
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related quantitative field for a one-year Postdoctoral Research Fellow position. This position involves developing new theory and methods at the intersection of causal inference and network science
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supervision of Prof. Flavio Calmon at Harvard SEAS. The postdoctoral researcher will develop information-theoretic methods for alignment, privacy, and reliability in modern AI systems. Basic Qualifications
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outstanding opportunities for continued scientific development and for contributing to pioneering research. Specifically, the fellow will apply as well as develop code to process and analyze mycobacterial
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opportunity to work with the Park Lab to develop an independent research project within the scope of the labʼs research focus. In addition to carrying out research, the successful candidate will have the
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to the development of image-based diagnostics and precision oncology strategies; publish findings in high-impact journals; and present at national/international meetings. Basic Qualifications Ph.D. in Molecular
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for data quality, record-keeping, and rigor are required. The successful candidate will work with Drs. Jennifer and Alon Oyler-Yaniv to develop an independent research project within the scope of the lab’s