117 web-developer-university-of-liverpool positions at Brookhaven Lab in United States
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areas of need are addressed Prepare rooms set-ups and breakdowns The hours of operation are 8:00am to 4:30pm Required Knowledge, Skills, and Abilities: Requires a High School diploma, GED, or higher Must
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developing waste disposal pathways. Identify potential legacy waste issues. Identify pollution prevention opportunities and coordinate the integration into projects and facilities. Assist with Department
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experience in technical project management. A key part of the role will be to work with division staff in the execution of software and hardware development projects for the world-leading NSLS-II facility
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scientific and security problems of interest to Brookhaven Lab and the Department of Energy (DOE). Topics of particular interest include novel development and application of machine learning models, especially
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contribute to the development of next-generation technologies and tools that could facilitate the integration of renewable generation and other distributed energy resources into the power grid. The successful
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foundational ML and NLP innovations. This work involves the development and applications of encoding and generative NLP models (e.g., large language models, LLMs), and includes model training, tuning and
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development and career advancement opportunities Eastern Long Island work location (Brookhaven Township) Position Description Under minimum supervision, you will operate, maintain, and repair any heat
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to provide electro-mechanical drafting, document revision control, and library creation/management, using a variety of CAD/CAM platforms. Tasking will also include provision of drafting support for development
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. The EIC will be a discovery machine for unlocking the secrets of the “glue” that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized
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scientific and security problems of interest to BNL and the Department of Energy (DOE). Topics of particular interest include: (i) novel development of deep learning ML models and adaptation of existing ones