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framework for the joint analysis of large-scale structure (LSS) and gamma-ray data. By combining these complementary probes of the same underlying matter distribution, the project aims to sharpen constraints
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 13 hours ago
. Description: This project will focus on the analysis of Gravity Recovery and Interior Laboratory (GRAIL) and Lunar Reconnaissance Orbiter (LRO) data to improve our understanding of the Moon's interior structure
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Full time, fixed-term contract for 9 months About the Role We are looking for a Research Fellow to support an exciting research project with Thames Freeport. This project will build a robust
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About the Role We are looking for a Research Fellow to support an exciting research project with Thames Freeport. This project will build a robust evidence base and strategic recommendations
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characterisation, and computational modelling to enable structure-driven materials discovery, targeting systems with unconventional atomic arrangements and emergent properties, and is inspired by the recent
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-intensive Ph.D. position will advance cutting edge cross-disciplinary approaches toward innovating bio-based construction materials, by interfacing concepts and tools from Physics, Microbiology and Structural
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specific focus on Level 5 (Minced & Moist). This role will involve applying food structure understanding to formulate and optimise products with appropriate texture, appearance, and nutritional quality
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on robotics and automation within the construction and built environment. The successful candidate will play a key role in developing an algorithmic solution for robotics that integrated with Building
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invites applications for Post-Doctoral Fellow positions in AI Agents for BIM and Construction (several posts) (Ref. no. 536609). Appointments will commence as soon as possible, with the possibility
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 13 hours ago
. Description: This project will develop a multimodal artificial intelligence framework to characterize and predict dynamic changes in forest structure, aboveground biomass, and carbon storage under hydroclimatic