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involves a research project with a focus on computational genomics, and they will work on methods development for somatic mutation analysis using genome sequencing data. This role involves research
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involves a research project with a focus on computational genomics and they will work on methods development for somatic mutation analysis using genome sequencing data. This role involves research
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the intersection between quantum information and particle physics. The successful applicant will work in Professor Carlos Argüelles’ group on the development of new algorithms to encode and process particle physics
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at Harvard Kennedy School is seeking a Software Engineer with specialized expertise in software development, generative AI, and data science. This fellowship is housed within the Shorenstein Center on Media
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the cellular and molecular pathways disrupted in brain disorders such as schizophrenia and autism, by utilizing recent advances in genetics and genomics. We are developing and applying tools to understand how
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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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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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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