102 computer-programmer-"IMPRS-ML"-"IMPRS-ML" positions at Brookhaven Lab in United States
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tolerances Proficient computer skills including the use of Microsoft Office (Word, Excel, PowerPoint) Excellent organizational, written, verbal and presentation skills Detail oriented and capable of following
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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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guidelines for programming and documentation Required Knowledge, Skills, and Abilities: BA/BS Degree or equivalent experience, preferably in Computer Science or related discipline 1 + year(s) of relevant
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Apply Now Job ID JR101895Date posted 07/17/2025 Brookhaven National Laboratory (BNL) is the building site for the Electron-Ion Collider (EIC), a one-of-a-kind nuclear physics research facility. The EIC will be a discovery machine for unlocking the secrets of the “glue” that binds the building...
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, and integrated audits, especially where IT plays a supporting role, and other duties as may be assigned. Position Requirements: Bachelor’s degree in Computer Science, Information Systems, Accounting
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also hosts one of the brightest x-ray synchrotrons in the world, the Center for Functional Nanomaterials, the quantum information science Center for Co-Design for Quantum Advantage, the NASA Space
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: Plan, carry out, and publish independent and impactful science research utilizing LEAF’s ultrafast capabilities (~ 10 ps resolution). Present scientific results at domestic and international conferences
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materials for the next generation of microelectronics and quantum information science and technology. Position Description: We are looking for a Postdoctoral Research Associatefor a 1-year term , to grow high
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Apply Now Job ID JR101446Date posted 09/26/2024 The AI/ML Department of Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for a
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Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a wide range of material parameters. The CFN develops and utilizes