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communication skills Preferred Knowledge, Skills, and Abilities: Knowledge of both the theoretical fundamentals and applications of machine learning. Experience working in multidisciplinary collaborations. Strong
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Apply Now Job ID JR101406Date posted 09/12/2024 The Machine Learning Group within Brookhaven National Laboratory’s Computational Science Initiative (CSI) invites exceptional candidates to apply
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addition, the Group also develops novel detection techniques including machine learning to improve radiation detection and nuclear security and safeguards. Position Description The Radiation Detection and
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of the student will be the performance of power grid modeling and simulation, statistical analysis and machine learning applications in power system control or cybersecurity, and the implementation in Python and
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operation of particle or nuclear physics detectors Experience in applying machine learning to scientific problems Experience in distributed computing, workflow management and/or data management software
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and the ability to learn new things and be able to multi-task, be deadline driven, detail oriented, ability to work on a team, and someone who wants to grow within the organization. It is a great
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out R&D programs focused on Electro-Photonics, Quantum Information Science, Artificial Intelligence & Machine Learning, and Neuromorphic Processing that require ASICs with specific layouts
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applications to accelerator systems Use of Machine Learning tools Excellent written and verbal communication skills. Proficiency with standard MS Office tools including Excel, PowerPoint and Word. Preferred
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, processing, or machine learning on microscopy data, including spectroscopy. You have strong hands-on experience in operating and maintaining Nion STEMs. You have excellent interpersonal and communication
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Maintain a continuous learning mindset, bringing modern thinking, practices, and research in technology management and solutions into the role Continually improve work procedures and processes