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by publication record). Excellent programming and computer science skills. Preferred Knowledge, Skills, and Abilities: Practical experience developing novel ML and NLP algorithms and models and
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combines data science with novel method development, and provides unique access to world-class computing resources, such as the BNL Institutional Cluster and DOE leadership computing facilities, as
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and uses these applications to inform new foundational ML and NLP innovations. The position provides unique access to world-class computing resources, such as the BNL Institutional Cluster and DOE
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learning field. Excellent programming and computer science skills. Preferred Knowledge, Skills, And Abilities Practical experience developing novel ML, LLM, or CV algorithms and models. Experience with state
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at the Computational Science Initiative (CSI), within the Brookhaven National Laboratory. The selected candidate will collaborate on solving inverse problem, relevant for interference lithography process, by deploying
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to conduct interdisciplinary collaborative research at Brookhaven Lab. Essential Duties and Responsibilities: Developing novel machine learning algorithms and conduct computational experiments
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of proteins in disease. Our work helps to develop and apply novel tools in biochemistry, genetics, cell and structural biology, and bioimaging. We also leverage the unique capabilities of BNL’s National
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procedures and work plans, and maintaining safe work areas. They will ensure that research material and equipment (glass containers, tools, instrumentation, computers, carts, gas cylinders, lecture bottles
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to take a leading role in studying the origin of Lambda hyperon transverse polarization in electron scattering experiments—such as the CLAS12 experiment at Jefferson Lab’s 12 GeV program and the ePIC
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Summer Science Explorations. This position is on-site. Essential Duties and Responsibilities: Support lead instructor with facilitation as needed. Support lead instructor in program preparation as needed