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/filmmakers… The recruited postdoctoral researcher will be expected to contribute to the programming of these seminars, to their animation, and to the documentation (including through parallel interviews
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to prioritize and advance multiple tasks in parallel without losing track of details. • A collaborative approach to work and the ability to supervise, teach, and motivate undergraduate students. • Flexibility and
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the world’s first exascale supercomputer system (Frontier), and deploying some of the largest parallel file systems in the world. As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL
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, and assisting research faculty and users with operation of the systems. Requires highly experienced individual skilled at managing Linux-based supercomputing clusters, scalable parallel file systems
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optimization, polynomial optimization, stochastic optimization, semidefinite programming, non-smooth optimization, and related fields. · High-Performance Scientific Computing: parallel computing (MPI, OpenMP
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
communications skills; a strong customer service orientation; excellent organizational skills; the ability to set priorities and manage a number of tasks in parallel in a busy environment; the ability to work both
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, ideally in a technical or CS-related field Strong organizational skills and comfort managing multiple parallel timelines and stakeholders Working familiarity with tools such as Moodle, GitHub/GitHub
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communication skills and motivation to work collaboratively Ability to work independently and manage multiple projects in parallel Proficiency in spoken and written English Desirables: Hands-on experience with
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. Proficiency in python programming and electromagnetic simulation. Experience in reduction of large data sets. Preferred Qualifications Proficiency in parallel computing. Proficiency in foreground mitigation
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-checked security guarantees. In parallel, we will investigate how modern AI techniques can accelerate large-scale formal verification, developing AI proof agents that can maintain, extend and refactor