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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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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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to take a leading role in studying the origin of Lambda hyperon transverse polarization in electron scattering experiments—such as the CLAS12 experiment at Jefferson Lab’s 12 GeV program and the ePIC
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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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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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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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support. Preferred Knowledge, Skills, and Abilities: Ability to program and debug python code, particularly Jupyter notebooks. Experience in working on collaborative software projects. Environmental, Health
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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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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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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