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-of-the-art data management, machine learning and statistics techniques. With the advancement of Exascale systems and the variety of novel AI hardware designed to accelerate both training and inference
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key element of the two-beam acceleration concept Emphasize Bayesian optimization approaches and integrate these methods into the facility control system Design, execute, and analyze accelerator
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automated TEM specimen preparation, including focused ion beam (FIB) methods Curate and prepare datasets for AI model training, validation, and inference Disseminate findings through high-impact publications
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other sources to train and validate AI models. Develop computational workflows incorporating LLMs, Monte Carlo Tree Search (MCTS), phylogenetic inference, uncertainty quantification, and epidemiological
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-of-the-art data management, machine learning and statistics techniques. With the advancement of Exascale systems and the variety of novel AI hardware designed to accelerate both training and inference
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at a user facility. Skill in both written and oral scientific communication. A strong track record of working collaboratively in a diverse, team-oriented research environment. Job Family Postdoctoral Job
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The successful candidate will be highly motivated and have a strong track record in problem solving and scientific publications. The candidate will be expected to conceive of, plan, and implement scientific
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skills to those listed will be considered). A proven track record demonstrated through journal publications and patent applications. Skilled communication skills at all levels of the organization. Ability
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/computing and data analytics, track records of publications in peer-reviewed journals, a strong problem-solving capability, a highly skilled implementation capability, and strong interest in solving real
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quantitative data analysis. Excellent communication and teamwork capabilities, with a track record (or potential) in writing publications and presenting scientific results. Interpersonal skills, oral and written