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In the energy transition many technologies rely on the injection and extraction of energy carriers, like geothermal heat, CO2 and hydrogen. Repeated fluid pumping could lead to clogging of fluid
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have strong hands-on experience in designing and conducting high-temperature experiments, including the operation of furnaces and high-temperature equipment, and working with reactive gases (particularly
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specifically, do you want to perform cutting-edge research and develop novel advances in hyperbolic deep learning for computer vision? Then check out the vacancy below and apply for a PhD position in this
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: foundation models, reliable and explainable AI with statistical foundations, scalable and high-performance statistical computing – is particularly welcome. As our new colleague, you will contribute to DACS
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in developing novel statistical methods for relevant
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systems of the future. What are you going to do? The increasing complexity and ever-tighter performance requirements on systems such as occurring in high-tech manufacturing, autonomous vehicles, and smart
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This is a high-profile, industrial-academic collaboration between
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performance improvements as conventional scaling approaches its physical limits. This research is essential for future computing, artificial intelligence, and sensor technologies that will shape our digital
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explore advanced data structures, Spatial and non-spatial Database Management Systems, and high-performance computing strategies to enable fast, scalable handling of these datasets. You will also
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experience with economic modelling of markets or regulatory environments. The ideal candidate is motivated to conduct high-quality research that informs the design and functioning of emerging energy markets