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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 13 hours ago
machines, air compressors and other building systems equipment. Receives work order assignments, orders materials and completes tasks accurately with detailed written comments provided on work orders upon
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 13 hours ago
machines, air compressors and other building systems equipment. Receives work order assignments, orders materials and completes tasks accurately with detailed written comments provided on work orders upon
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counseling and spiritual support for patients, families and staff in a major component of the hospital, and provide individual and group instruction to Year 1 and Year 2 Clinical Pastoral Education (CPE
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should have strong interpersonal, communication, and computer skills. A background in music or film, or previous library experience, is preferred. Must be available to work two or more 1 - 6pm shifts
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, that can be realised using cloud compute infrastructure and other novel deployment architectures. Given our team's existing research skillset in novel machine learning approaches, we are recruiting a
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, tanks, blowers, drain pipes, machine guards, and fan or filter housings. Repair and replace electrical outlets, switches and light fixtures. Braze, solder, and weld pipe, sheet metal and metal fixtures
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materials discovery with cutting-edge high-throughput platforms, robotics, machine learning, and autonomous experimental workflows. Access World-Class Facilities: Based in the Department of Chemical and
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the MULTIMOC project funded by ANR ASTRID and as part of the GRAFIC project funded by the Nouvelle-Aquitaine Region. The aim is to develop an all-fiber laser source end component, whose special feature will be
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, physics-based simulations and finite element models to refine biomechanical movement tracking and optimize training transfer from virtual to real-world environments. • Computer Vision Integration: Implement
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additive manufacturing. The role will focus on thermal field modelling, multi-physics numerical simulations, machine learning and process parameter optimization. We expect the candidate to use data-efficient