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Field
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or operating pipelines for ingesting, transforming, and managing structured and unstructured data. Experience working with high-performance computing resources, including utilizing job schedulers, parallel
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, ranging from early devotionals and Bollywood mythologicals to art house and parallel cinema masterpieces to explore key themes in the history and religion of India with a focus on 20th century developments
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to cardiovascular and metabolic health. Our current portfolio includes parallel arm RCTs examining interventions on a national or international scale, single-centre studies examining the ability of devices to monitor
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project tasks in parallel, leveraging technology tools and data tracking systems to ensure project deliverables are met efficiently, accurately, and on schedule. Decisions may involve selecting an approach
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possible to assay many exposures in parallel, and will develop the molecular and phenotypic readouts that make those screens informative. The work follows one of two strands, and which one the post holder
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these areas commensurate with career stage. Experience of FORTRAN and python programming. Previous experience in developing and using parallel computer codes using the Message Passing Interface (MPI). This is
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architecture of entirely new foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across
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foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across large GPU clusters on cryoSTEM
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to write scientific articles autonomously, evidenced by a first-author publication record. Communication and autonomy: Ability to work independently, manage several projects in parallel and communicate
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practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or deploying production ML