18 phd-position-for-fully-funded-reserch-in-computer-vision Postdoctoral positions at Brookhaven Lab
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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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the direction of Dr. Katia Lamer Initial 1-year term appointment subject to renewal contingent on performance and funding This is a fully onsite position at BNL located in Upton, NY BNL policy requires that after
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of existing ones for scientific applications; (ii) Large Language Models (LLMs) and multi-modal Foundation Models (iii) Large vision-language models (VLM) and computer vision techniques; and (iv) techniques
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Apply Now Job ID JR101897Date posted 07/07/2025 The Condensed Matter Physics and Materials Science Division (CMPMSD)at Brookhaven National Laboratory conducts a wide-ranging research program
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service, illness or other life-changing events. This is a fully onsite position located at BNL Brookhaven Laboratory is committed to providing fair, equitable and competitive compensation. The full salary
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funding. Please contact Nak Hyun Kim (nkim@bnl.gov ) if you have any questions. BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a
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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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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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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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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