23 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" Postdoctoral positions at Brookhaven Lab
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associate position with a focus on natural language processing (NLP). This extremely fast-moving and competitive field has produced innovations with highly visible impact in industry, education, and public
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associate position with a focus on national security applications of natural language processing (NLP). This extremely fast-moving and competitive field has produced innovations with highly visible impact in
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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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Abilities: Experience with topological quantum materials High pressure processing including spark plasma synthesis Experience with dilution refrigerators Synchrotron based materials characterizations
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your application. Reference letters may be requested via an electronic submission process as your candidacy is considered. The position is currently limited to 2 years and may be renewed for one more
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issues. Position Description The position will support the operation and continued development of a center for high throughput x-ray crystallographic fragment screening (XCFS). The successful candidate
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Synchrotron (RCS). This role offers an opportunity to make key contributions to the safe, reliable, and efficient operation of one of DOE’s flagship accelerator projects. Essential Duties and Responsibilities
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studies and computer simulations Collaborate with the BMAD development team at Cornell University by implementing new features into the code Participate in the EIC design effort in a more general sense
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work closely with CFN Electron Microscopy group members and computer scientists at Brookhaven. You will be professionally mentored by Dr. Judith Yang and Dr. Sooyeon Hwang and receive guidance from Prof
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. POSITION REQUIREMENTS: Required Knowledge, Skills, and Abilities: Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, Physics, Material Science, or related discipline. Demonstrated