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). Develop robust, reproducible and reusable Python code for model training, inference, and large‑scale computational experiments. Run and manage high‑throughput workloads on HPC or cloud infrastructure
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with experience in ligand discovery. Our research group is focused on developing state-of-the-art computational methods for ligand/drug discovery, using machine learning, high-performance/cloud computing
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collaboration with experimental scientists. Our group develops and maintains open-source software for data analysis, including HiCognition (https://www.hicognition.com) for interactive exploration of genomics
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the Washington D.C. metro area. Opportunity to partner with frontier AI labs on scientific applications of AI (see https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical
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aerosol, a key driver of extra-tropical mixed-phase clouds, which are responsible for the largest uncertainties in current equilibrium climate sensitivity estimates. To tackle these challenges, SoMAS seeks
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on scientific applications of AI (see https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute ). What you’ll do: Use AI coding agents to develop ad-hoc APIs
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, in particular for subcategories such as Infrastructure Hardware, Cloud Hosting, Telecommunications, Enterprise Software and Hardware and IT Services ideally both from working in a large scale IT
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AI labs on scientific applications of AI (see https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute ). What you’ll do: Research and explore