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Hey machine learning enthusiast with a love for physics and complex systems, will you help us develop a new generation of road traffic prediction methods? Job description Road traffic is a highly
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observations. You will work closely with a postdoctoral researcher who will lead the detector measurements and telescope deployment activities. The project is embedded within the Experimental Astronomy group and
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at the intersection between computer science and condensed matter physics, offering the student the opportunity to work across both disciplines toward the development of next-generation computing technologies
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Hey machine learning enthusiast with a love for physics and
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in the subinstitute Physics of Nanoscale Systems (ER-C-1) , which focuses on developing novel methods to understand material properties at the atomic level. Your Job This PhD project investigates
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facility at Jubilee Campus. The PEMC institute is globally renowned and one of the leading research entities in its field. The work is also supported by Siemens AG, Germany and will be led at the facility in
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The Faculty of Sciences and Bioengineering Sciences, Department Physics, Research Group No Large Research Group is looking for a PhD-student with a doctoral grant. More concretely your work package
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data, a physics-based train–track–embankment interaction model will be developed using finite element (FE) and/or multibody dynamics (MBD) approaches. The model will be used to investigate the mechanisms
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placements at the forefront of sustainable chemistry, catalysis, and advanced manufacturing. Current available projects are: Mechanochemical Synthesis of Single-Atom-Catalysts (SMC) (Faculty of Science
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of settings where only parts of a system are extreme. Special attention will be given to parametric families like the Hüsler–Reiss distribution, which lead to an extremal analogue of Gaussian structural causal