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) through the analysis of data from the Vera C. Rubin Observatory. Successful candidates will have access to local computing facilities and will have the opportunity to interact and work with
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, operating systems and computer architecture, cloud computing or theory of computation; and one tenure-track position in cybersecurity with primary consideration for software security, operating system
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experimentation. Familiarity with distributed or accelerated computing environments (e.g., GPU-enabled systems, shared compute clusters ). Working knowledge of database systems, including: Relational databases (e.g
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MLOps: workflow orchestration and experiment tracking High-performance computing Large language models (LLMs) or other foundation models applied to scientific or clinical text Pay Range Minimum
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, related conference travel, workshops, and computing resources will be available. Further information about the BHI may be found at http://www.bhi.fas.harvard.edu ; information about BHEX may be found at
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spanning robotics and intelligent systems. Candidates may have opportunities for affiliation with Computing & Data Sciences and connections to BU's broader AI for Science portfolio. BU BME is a top-ranked
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frameworks (e.g., Seurat, Bioconductor, scanpy, squidpy, scvi-tools), and comfort working in a Linux/high-performance computing environment. Working knowledge of, or a strong willingness to learn, the
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; train student researchers on best practices and lab protocols. Coordinate IT resources, research computing, and staffing (including summer interns) needed to support the lab’s work. Oversee the
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more components of "full-stack" programming, including front-end, back-end, cloud or high-performance computing Able to optimize and deploy software applications for on-premise and/or cloud-native
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pathology and other relevant areas of ML/AI/computing to advance human health. Appointment will be at the assistant professor level. In special cases, an untenured associate or senior faculty appointment