173 parallel-computing-numerical-methods "Multiple" Fellowship positions at Harvard University
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imaging and microscopy methods, and perform computational data analysis. Previous experience in translational cancer biology or immunology, spatial biology, and microscopy are preferred but not required
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postdoctoral research associate to work with Professor Michael Desai at Harvard University on projects involving inferring sequence-function landscapes, using a combination of empirical data and ML methods (e.g
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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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have access to multiple amenities including a roof top terrace with stunning views of Boston and proximity to numerous restaurants and cultural attractions. We value an inclusive and diverse workforce
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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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Fenway neighborhood, where you have access to multiple amenities including a roof top terrace with stunning views of Boston and proximity to numerous restaurants and cultural attractions. We value
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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
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reproducible analysis workflows Familiarity with computational models of vision and machine learning methods (for example CNNs, deep generative models, encoding models) is preferred but not required Ability
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understanding the intricacies of plant chemistry and biology. Research in the Nett lab spans multiple, distinct projects that are all unified by the chemistry of plants, including: 1) evolutionary and biochemical
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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