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and performance requirements are met. Job requirements Strong Background: You hold a Master’s degree (MSc) in Applied Mathematics, Computational Science, Physics, or a closely related field. You have a
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enhanced heat transport properties. Using chemical modification of graphene nanoplatelet fillers, colloidal assembly approaches and emulsion preparation techniques, the PhD candidate will perform detailed
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Are you interested in challenging deep learning at its core? And specifically, do you want to perform cutting-edge research and develop novel advances in hyperbolic deep learning for computer vision
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-friendly latex-based and UV-curable inks. These positions combine experimental and computational approaches to create high-performance inks with reduced environmental impact. PhD Position one and two
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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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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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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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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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Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No