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competitive salary. Essential Duties and Responsibilities: Conduct research in ML and NLP for various problems relating to scientific discovery, workflow acceleration, and national security. Implement, adapt
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on diverse scientific and security problems of interest to BNL and the Department of Energy (DOE). Topics of particular interest include: (i) development of novel machine learning models and adaptation
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year depending on performance and availability of funds. Candidates must have received a Ph.D. by the commencement of employment. BNL policy requires that after obtaining their PhD, eligible candidates
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Required Knowledge, Skills, and Abilities: PhD in Accelerator Physics or a related field In-depth working knowledge of accelerator design codes such as BMAD, MADX, or ELEGANT Working knowledge of programming
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. Implement, adapt, and evaluate ML and NLP algorithms for scientific and security applications. Work in interdisciplinary collaborations with subject matter experts from a variety of domain sciences and
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seminars and colloquia Participate in conferences and workshops, regular group meetings, and assist with notetaking Required Knowledge, Skills, and Abilities: PhD degree in meteorology, atmospheric sciences
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. Other Information: Candidates must have received a Ph.D. by the commencement of employment. This is a 2-year term appointment BNL policy requires that after obtaining a PhD, eligible candidates for
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-loss-spectroscopy is highly desirable. - Demonstrated quantitative data analysis abilities. - Effective communication skills. BNL policy requires that after obtaining a PhD, eligible candidates for
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: This is a 2-year Postdoc Assignment. BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work
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Candidates must have received a Ph.D. by the commencement of employment. BNL policy requires that after obtaining their PhD, eligible candidates for research associate appointments may not exceed a combined