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skyscrapers, enabling early detection of damage. - Renewable Energy: Rapid, optimized design of wind turbine blades and structures for greener energy. - Microstructures: Accurate, efficient analysis of devices
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Description The selected PhD candidate will participate in the EU-funded HORIZON-MSCA-DN-2024-01 project LipAgg. The LipAgg network brings together partners from 6 European countries and comprises 11 academic
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Technologies (KET's) centre. CEPLANT is also included on Roadmap of Large Research Infrastructures of the Czech Republic. CEPLANT boasts a rich network of cooperating institutions in the world. Cooperation with
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Training in Negative Emission Technologies for Net Zero (CDT in Net2 Zero) is an equal partnership between Aston University (lead), University of Nottingham, Queen’s University Belfast, and University
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of Programmable and Intelligent Networks Position You will work actively on the preparation and defence of a PhD thesis X-as-a-Service (XaaS) Architectures for 6G Networks. The PhD project will be focused on X-as-a
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drone detection and localisation performance using radar systems. This can be achieved by improving the detection performance of individual sensors and by employing a cooperative network of sensors which
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universities, research institutions, and museums in a highly collaborative network, supported by the Muoniverse Research School, which coordinates training, exchanges, and career development for PhD students and
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detection and automation. The UMLFF project aims to develop next-generation MLFFs with built-in uncertainty predictions to enable safe, automated active learning and create broad, reliable MLFFs. You will
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, under the scope of a term contract, with a termination date undetermined, overseen by Portuguese Labour Code. Job description: development and implementation of optical modulation and detection for higher
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. The research will focus on identifying and characterizing ultrasonic signatures emitted by aging electronic components, and on developing physics-informed neural networks (PINNs) to model their degradation