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Requisition Id 15584 Overview: Do you have a passion for applying AI methods for accelerating scientific discoveries and an ability to think outside of the box in a collaborative and open
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liquids, frustrated magnetism, excitonic magnets, and strongly correlated electron systems. You will work closely with theorists, experimentalists, and computer scientists to build robust, scalable
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applications for biomedical research. The candidate’s work will focus on developing AI methods, training AI models, and creating agentic AI workflows on DOE supercomputers and applying them to population-level
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workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in evolutionary biology, plant biology, genomics, bioinformatics, mathematics, statistics, computer
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Responsibilities: Analyze variety of engineering problems using traditional analytical methods and finite element analysis packages to prove designs meet established design standards. Provide hand calculations
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large ablations, and translate methods into scientific impact. We are an inclusive dynamic environment that welcomes those with initiative and creativity. Focus Areas: Agentic AI for Science: Autonomous
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, transportation, and more, with a special emphasis on grid resilience assessments and equity analysis. You will have the opportunity to creatively use interdisciplinary methods from computational data science