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computational methods and tools, including prior experience with algorithms relevant to computational biology, is a plus. ● Ability to work independently as well as part of an interdisciplinary team in a
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for Similar Jobs About Harvard University Harvard University is devoted to excellence in teaching, learning, and research, and to developing leaders in many disciplines who make a difference globally
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modeling and AI. This position will include: Developing new Generative AI algorithms for developing intelligent agents in areas such as planning, exploration, perception, physical reasoning, and memory
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of detailed protocols including operational definitions, data dictionaries and ICD/CPT codes used for algorithms; will be responsible for making statistical analyses code publicly available on GitHub ensuring
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bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages
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differentially private learning, its connections to replicability of algorithms, and algorithmic fairness. Basic Qualifications Candidates are required to have a doctorate or terminal degree in Computer Science
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postdoctoral position is available in the Geometric Machine Learning Group at Harvard University, led by Prof. Melanie Weber. This role offers an opportunity to perform research at the intersection of Geometry
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Buildings and Cities Position Description Harvard University is launching the Sustainable Buildings and Urban Future Cluster —a bold, interdisciplinary research initiative designed to address the climate
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in the Murthy laboratory at Harvard University to study olfactory learning and behavior in mice. We seek a highly motivated individual with an interest in olfactory physiology and behavior. Our group
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application to lineage tracing Algorithms for characterizing structural alterations in bulk and single cell whole-genome data Mutational signature analysis for cancer/brain samples Analysis of repetitive