16 phd-position-in-data-modeling Postdoctoral positions at Brookhaven Lab in United States
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for scientific and security applications; (ii) ML model optimization for inference speed and deployment for real-time analysis; and (iii) AI model training for analog in-memory computing. The position provides
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with leading theorists to explore connections between Lambda polarization in exclusive production and Generalized Parton Distributions (GPDs). This position involves both experimental data analysis and
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applying such models to scientific or security problems. Experience working in multidisciplinary collaborations. OTHER INFORMATION: Initial 2-year term appointment subject to renewal contingent
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such models to scientific or security problems. Experience working in multidisciplinary collaborations. OTHER INFORMATION: Initial 2-year term appointment subject to renewal contingent on performance and
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investigators. Position Requirements Ph. D. in theoretical or physical chemistry, or a related field Extensive experience in one or more of the following areas: Computational modeling of homogeneous
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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