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throughout the Department. The U.S. Department of Energy's (DOE) Workforce Readiness Accelerator for Major Projects (RAMP) is an initiative focused on workforce development research, policy, and program design
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of mind and action, Toronto Metropolitan University is on a transformative path to become Canada’s leading comprehensive innovation university. Integral to this path is the placement of equity, diversity
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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behaviours. NATURETIME aims to generate actionable knowledge to inform the design of cities and other living environments, thereby improving human time-perception regulation, boosting well-being, and
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, comparative genomics, machine learning, and evolutionary analysis to address fundamental questions in molecular biology and human disease. Responsibilities Develop computational pipelines for the discovery
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Photonic Materials & Optical Fibres . Our people Our people are guided by purpose, curiosity and a commitment to lifelong learning. We embrace authenticity, innovation and collaboration, and harness diverse
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at the atomic scale, using density functional theory-accurate machine-learned potentials and molecular dynamics simulations, in close collaboration with leading European research institutes and steel industry
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
and video editing systems—such as those designed for virtual try-on [5], face swapping, or precise object insertion—excel at fine-grained conditioning on target individuals or objects. They can adapt
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 month ago
mouse models, as well as complementary in vitro biochemical and molecular assays. The position requires the design, execution, and interpretation of complex experiments involving molecular biology
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vision, controls, cyber-physical systems and their security, hardware security, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in Matlab