100 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" positions at Brookhaven Lab in United States
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on-site field-deployed position. Essential Duties and Responsibilities: Identification of job hazards, exposure evaluation and development of controls; preparation of written training material and job
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Excellent benefits, including healthcare, retirement, paid time off, fitness facilities, paid parental leave, and on-site childcare Professional development and career advancement opportunities Eastern Long
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their utilization. The CMPMSD at Brookhaven National Laboratory seeks applicants for a research associate position participating in the development, understanding, and characterization of novel quantum
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starters/VFD, etc. Analyze complex engineering problems and offer effective and efficient resolutions to management/project manager in a timely manner while working on several projects at once. Development
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absence. Identifies and plans the daily and ongoing maintenance needs of the system. Determine work plans and resources necessary to achieve operational targets; prepare operations budget estimates and
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mission. Support the AS&T Department Chair in development of strategic plans for the department and division. Develop and implement plans for the division that grow capabilities essential to the accelerator
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Responsibilities: Develop designs of mechanical cryogenic components including cryostats and vacuum jacketed cryogenic piping systems, and designs ofwarm piping systems that transfer gases to cryogenic components
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engineer will have the responsibility to: Oversee the Experimental Safety Review process for NSLSII, inclusive of review and approval of documentation, as well as the development of risk analyses for higher
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report to this position and the Director will develop an integrated research security program to work with staff comprised of other program managers and support functions. Key Responsibilities: Work with
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., crowd sourced data or from mobile and distributed instrument networks) Assess the performance of next-generation predictive urban climate models using observations Develop new visualization strategies