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, reliability, and availability of complex industrial systems while making maintenance strategies more cost-efficient. Together, UESL and IMOS are seeking a motivated and qualified PhD candidate to advance
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rules in networks of complex spiking neuron models in the application field of geolocalization: Building up simulation model for networks of complex neurons with topologies close to neuroscience models
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areas, which will be used to train and assess boundary layer neural network models. The student will develop and evaluate suitable ML architectures, analysing the trade-offs between different modelling
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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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-ready control of electromagnetic waves. Unlike current solutions—which are energy-intensive, complex, and costly—MetaTune proposes unified tuning mechanisms, innovative materials, and cost‑effective
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towards the next-generation co-design platform, accelerating the development cycle for complex interdisciplinary systems. Motivation Aircraft design is a highly complex process that must balance performance
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. International young and experienced scientists from various disciplines develop interactive materials based on the principles of nature. It is a location at which people with different talents, experiences and
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. It is questionable whether orthogonal frequency division multiplexing (OFDM) used in 4G/5G is still adequate for sub-THz/THz frequency bands due to complexity issues [4,5]. Howewer for the single
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of representative failure models for gear failures causes difficulties in their useful lifetime prediction. Critical operational parameters such as loading, speed and lubrication affect the physics of gear meshing
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operation of autonomous systems in complex, real-world conditions. This PhD project aims to develop resilient Position, Navigation and Timing (PNT) systems for autonomous transport, addressing a critical