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project within the Dutch SolarNL / SolarLab program ( https://www.solarnl.eu ). The project focuses on advanced light-management strategies for high-efficiency all-perovskite tandem solar cells. Information
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moulding, and you will test specific mechanical and physical properties in order to generate high-quality data for training and validating Machine Learning models. You will use these models to analyse how
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centre for research-led teaching in the physical sciences. Within Physics, our PhD students work closely with academic staff in small, collaborative groups, with access to high-performance computing
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spectrometers called DTAS (cluster of 18 NaI(Tl) detectors) and Rocinante (made of 12 BaF2 detectors). The new STARS setup combines these high performance TAS detectors with an additional ring of fast LaBr3:Ce
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for Structural Biology offers access to state-of-the-art infrastructure including cryo-electron microscopy, X-ray crystallography, NMR spectroscopy, and high-performance computing. The Vorobieva laboratory is an
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(UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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space. UoB houses a significant high-performance computing facility, available to this project. The candidate will join the Tarzia Research group (tarziaresearchgroup.github.io ) and the Michalchuk group
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page to watch video, or click here to open video) About the position Embankment Dam Safety under Flexible Hydropower Operation: Internal Erosion and Filter Performance About the position The Department
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selecting simulations to run based on a given prediction objective. • Implement and validate these developments in the YALES2 code. • Utilize high-performance computing resources to run the simulations
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zone with Autonomous Underwater Vehicles and Unmanned Surface Vehicles also rely on ice drift and general ice situational awareness at a high spatio-temporal resolution. The project shall explore the use