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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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to semiconductor research and manufacturing innovation. CISM provides access to cutting-edge cleanroom fabrication, advanced metrology, and process development tools, enabling the study and optimisation
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Advert title: Game Design for Post Climate Futures: A Practitioner-led Approach Project advert We are looking for a highly motivated doctoral student to join our research team based in central
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installations. Building on these research and industrial successes, this project aims to design soft robotic systems capable of fast locomotion within aero-engines and operating end effectors for non-destructive
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, training, coaching etc.) if necessary. This is part of your personality: Background in Optics: Extensive experience with superresolution microscopy and specifically SMLM Expertise in 4Pi microscopy hardware
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to predict coastal wetland restoration success. Successful candidate will first construct sensors using microcontrollers (e.g., Arduinos and peripheral sensors). These sensors will be designed to measure key
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Are you ready to push the boundaries of engineering innovation and accelerate the world’s transition to carbon-neutral energy systems? Join the Thermofluids Group in the School of Mechanical
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Grundstufe (prae doc) is € 3.714,80. Please note that the advertised Completion Fellowships are for 30 hours/week VwGr. B1 (prae doc), with relevant work experience determining the assignment to a particular
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become the bottleneck in achieving optimal performance and trustworthiness. This project will focus on how a federated multi-task learning framework can be effectively designed and optimised to address
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of deep learning models, especially when new training experiences are corrupted. The framework will be validated in robotic control scenarios during EV battery assembly, under process variations such as