21 phd-position-for-fully-funded-reserch-in-computer-vision Postdoctoral positions at Brookhaven Lab
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Information: The position will be located onsite at BNL. Candidates must have received a Ph.D. by the commencement of employment. BNL policy requires that after obtaining a PhD, eligible candidates for research
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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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materials for the next generation of microelectronics and quantum information science and technology. Position Description: We are looking for a Postdoctoral Research Associatefor a 1-year term , to grow high
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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 leadership computing
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and national challenges. Position Description The Electron-Ion Collider (EIC) project is seeking an accelerator physicist at the postdoc level to join the accelerator design team. Core duties are
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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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Apply Now Job ID JR101713Date posted 05/07/2025 Organization Overview: The Center for Functional Nanomaterials (CFN) at Brookhaven is a DOE-funded national scientific user facility, offering users a
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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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and national challenges. Position Description The Electron-Ion Collider (EIC) Directorate has an opening for a Postdoctoral Research Associate to support the development and implementation of radiation
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be overseen by Professor Yimei Zhu and emphasizes strong collaborations within the DOE-EFRC — “Quantum Materials for Energy Efficient for Neuromorphic Computing.” The position is ideal for candidates