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8351HE Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job Job Description: This position will be in charge of developing energy determination algorithms for the Liquid Argon
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experimental neuroscience, computational neuroscience, and machine learning in an effort to discover algorithmic principles that bridge artificial and natural intelligence and link brains to intelligent machines
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and sources to answer key operational questions. Deep experience using a variety of data mining/data analysis methods to build and implement dashboards, models and algorithms that can help stakeholders
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classical simulation algorithms for quantum circuits. Explore approximate classical simulation algorithms (e.g., tensor networks, circuit cutting) to improve scalability. Publish scientific papers and present
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, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments
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to the discovery process through algorithm design and development of effective computing techniques What We're Looking For Education and Experience Required: Master’s degree in chemistry, engineering, math, physical
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optimization under uncertainty, constrained query evaluation, or the design of efficient, explainable, and scalable query engines. The successful applicant will help design and build novel systems and algorithms
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coupled systems, quantum sensing and technology for probing fundamental physics, and quantum algorithms for traditional computational problems in HEP. The senior scientific staff of the Division consists
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. Eventually, we aim to map these algorithms on to energy-efficient emerging devices. In addition, you may also explore applying LLMs to drive multimodal models in scientific domains towards deep reasoning. As a
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algorithms for image analysis to facilitate and optimize early disease screening, diagnosis, and treatment. Ideal candidates should possess a M.S. or PhD (or equivalent) in computer science, mathematics