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applies platforms for state-of-the-art techniques for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a
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Research program. The project aims to integrate a diverse suite of high-resolution observations (atmospheric, land surface, and infrastructure), diagnostic/predictive models, and civic engagement to provide
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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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knowledge and experience in electronics manufacturing and production Experience in desktop application development in C/C++ or Python in Linux and/or Windows Experience in the latest Xilinx/Altera FPGAs and
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industry, education, and public life – including the explosion of large language models (LLMs). BNL is engaged in numerous research efforts that employ NLP techniques for science and security applications
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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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experiments at NSLS-II. The selected candidate will work with a team of scientists from NSLS-II, CFN (Centers for Functional Nanomaterials), CSI (Computational Science Initiative), and IO (Instrumentation
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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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Apply Now Job ID JR101405Date posted 09/12/2024 The Machine Learning Group of the Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates
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stresses. This project is part of the newly established Plant Immunity Research Initiative (PIRI), a DOE-funded program aimed to resolve devastating diseases that affect bioenergy crops. PIRI’s mission is to