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. The positions will be filled for a fixed-term period of 2 years, with the possibility of contract extension. Job description The Doctoral Researcher will participate in activities related to wireless satellite
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at the intersection of 6G wireless communications, antenna, design, AI-enhanced beamforming and advanced air mobility (AAM). As aviation evolves towards high-agility platforms such as urban air taxis, drones, and
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Job description You will design, manufacture, test and validate two smart material systems/demonstrators: (i) a catheter for invasive surgery with shape and property morphing and (ii) an assistive tool to navigate and guide visually impaired people. You will (i) select appropriate materials for...
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We are seeking a highly motivated PhD candidate to join a project focused on developing a clinically compliant wireless platform for navigated capsule endoscopy and lesion detection. The research
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developing a clinically compliant wireless platform for navigated capsule endoscopy and lesion detection. The research will investigate novel strategies for magnetic navigation, real-time localization, and
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Skłodowska-Curie Doctoral Network “TeraWireless”, part of the Horizon Europe program. Based at the Pisa campus, selected candidates will work on cutting-edge research in terahertz (THz) wireless communications
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filled. This fully funded PhD explores AI-native and sensing-aware wireless systems where communications and sensing are co-designed end-to-end. You will unify modern machine learning, statistical signal
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will work in a stimulating and highly collaborative environment, alongside experts from an ERC-funded project in wireless bioelectronics. We invite applications for a fully funded PhD position
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Denys Nikolayev, principal inversigator in Wireless Bioelectronics at CNRS and ERC grantee. The performance assessment of the prototypes will be carried out in collaboration with BodyCap company. Where
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Research theme: "Next Generation Wireless Networks", "Signal Processing", "Machine Learning" UK only How to apply: uom.link/pgr-apply-2425 This PhD project aims to design novel resource allocation