170 parallel-computing-numerical-methods Fellowship research jobs at Harvard University
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Fellow to develop and evaluate artificial intelligence methods for physical medical procedures. The fellow will design and implement machine learning models to analyze procedural data, support clinical
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sequence-function landscapes, using a combination of empirical data and ML methods (e.g. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern
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meditation, diversity and social justice. Candidates continuing work from an earlier project (e.g. thesis or dissertation) to be adapted for broader publication will be strongly considered. This program is
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constructed office and laboratory space in Boston’s Fenway District. Our space has multiple amenities which include: roof top terrace, fitness center, locker room, bike storage, and close proximity to numerous
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with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant research
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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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on assay development and integration of diverse measurement methods for detecting airborne infectious disease threats. A critical aspect of your role will be ensuring robust, sensitive sensor performance
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office and laboratory space in Boston’s Fenway District. Our space has multiple amenities which include: roof top terrace, fitness center, locker room, bike storage, and close proximity to numerous
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and cell differentiation. We develop technologies to generate statistical data sets that make these problems tractable, as well as computational tools and laws governing biological system behavior. We
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Director of LISH (Dr. Ramona Pop). The position involves conducting rigorous empirical research using field experiments, large-scale data analysis, and computational methods to advance our understanding