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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 4 hours ago
candidates to apply to the DOE Science, Technology, and Policy (STP) Fellowship Program via the U.S. Department of Energy's (DOE) Workforce Readiness Accelerator for Major Projects (RAMP) program under the DOE
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Requisition Id 16807 Overview: We are seeking an Accelerator Facility Safety Engineer who will focus on performing, documenting, and maintaining technical safety documentation for ORNL accelerator
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Monash/Bayreuth Double PhD Degree Opportunity - Accelerating organic semiconductor discovery with generative AI, molecular dynamics and DFT Job No.: 698040 Location: Clayton (home) and Bayreuth
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We are seeking a researcher with expertise in computer vision and chemistry to work in collaboration with Unilever to design computer vision-enhanced workflows for automated sustainable consumer goods formulation. Formulation is a high-dimensional search problem that requires the combination of...
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most advanced heavy-ion accelerator facility — we are dedicated to the technical development, operation, and maintenance required to provide a diverse range of high-intensity heavy-ion beams with long
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to generate transformative ideas, while also fostering the next generation of energy and climate leaders through innovative educational programs. The Emissions Market Accelerator is groundbreaking ICSG
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This project is a part of the consortium for Accelerating Impact programme from EPSRC to scale up CO2
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This project is a part of the consortium for Accelerating Impact programme from EPSRC to scale up CO2 electrolyser for CO production, and derisk for further commercialisation. The project aims
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office, translating U-M research into startups, licenses, and industry partnerships. Its Ventures team supports company creation and manages the Accelerate Blue Fund, an evergreen pre-seed venture fund
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, these pillars support a holistic approach to accelerated, responsible scientific discovery. Design The Design pillar focuses on using computational tools, data‑driven methods, and artificial intelligence