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Details Title Postdoctoral Research Fellow School Faculty of Arts and Sciences Department/Area Human Evolutionary Biology Position Description The Song lab invites applications for a postdoctoral
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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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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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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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in developing, testing, and enhancing financial aid management systems (e.g., PowerFAIDS) and integrations with other university systems; analyze and test algorithms and business processes for
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will be affiliated with one or more academic departments at Harvard and will be assigned a faculty mentor, ordinarily but not necessarily in the departments of Anthropology or Human Evolutionary Biology
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and/or medical training paths in the biomedical and life science disciplines, including, but not limited to, plant sciences, evolutionary biology, biophysics, chemical biology, biomedical engineering
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at the leading edge of scientific discovery and will therefore require methodological work, algorithm development, and technical developments. The ideal candidate will be proficient in R and/or Python, have strong
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breakthroughs in machine learning and natural language processing to build, test, and deploy advanced algorithmic tools that underpin rigorous empirical research in real-world environments. Lead and collaborate
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RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages are not available or are not adequate. 2.) Apply