137 software-verification-computer-science-"TCAT-Jacksboro" positions at Brookhaven Lab
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Agile practices across the organization. Required Knowledge, Skills, and Abilities: BA/BS Degree or equivalent experience, preferably in Computer Science, information Science or related discipline Eight
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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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the engineering and/or operations of equipment and piping systems for chemical plants or cryogenic process plants. Work scope will include upgrades and maintenance of the current central liquid helium processing
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. · Contribute to writing procedures to ensure operational excellence. Required Knowledge, Skills, and Abilities: · BA/BS Degree or equivalent experience, preferably in Computer Science or related technical
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hands-on with mechanical equipment, and collaborating with a team to develop and build unique equipment. Demonstrated ability with 3D Computer Aided Design modeling software. Ability to perform mechanical
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sciences, and nanoscience. To support this program, the NSLSII must design, fabricate, assemble, test, install, and operate unique research equipment to generate, transport, transfer, accelerate and focus
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are conducted in compliance with BSA’s Prime Contract, applicable statutes and regulations, and in accordance with the highest ethics and standards. Oversight of BNL Property Management Program to effectively
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are conducted in compliance with BSA’s Prime Contract, applicable statutes and regulations, and in accordance with the highest ethics and standards. Oversight of BNL Property Management Program to effectively
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for the Electron-Ion Collider (EIC) being built at BNL. The EIC has many complex and unique challenges which will require creative solutions and close collaboration with the other technical engineering groups
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candidates should have a major in electrical engineering, computer science, or applied mathematics. A background in electric power systems modeling and simulation and data analytics and machine learning