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Field
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student will work closely with POST Telecom’s company (Luxembourg), who is co-funding this PhD position. Research Environment The PhD student will join the Secure and Reliable Software Engineering and
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scalable multilingual AI systems. TruX conducts research in software security, software repair, and explainable software to create key practical solutions for developers, allowing them to achieve
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PhD Studentship available on the RAINZ CDT programme at The University of Manchester. Project Overview Abstract: Complex software-driven systems, including autonomous robotics, are typically
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to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious program with research visits
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role involves designing and integrating real-time software algorithms with robotic hardware, including perception, control, communication, and safety modules to enable safe, precise, and reliable remote
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statistical software. Prepares reports and presentations based on research findings. Collaborates with team members and contribute to project discussions. Supports administrative tasks related to research
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‑UAS capabilities. Plan, commission, and operate RF infrastructure including spectrum analysis systems, software‑defined radios, direction‑finding arrays, and related measurement equipment. Collaborate
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crystal plasticity and fracture, with bulk-scale processes like powder flow, compression, and tablet formation. The project will harness open-source software, including MercuryDPM for discrete particle
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the sustainable packaging of granular and complex fluid materials through virtual prototyping. By coupling the open-source software MercuryDPM for discrete particle modelling with oomph-lib for the simulation
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computational, data analysis or programming experience, including software or languages used. o Publications, preprints, conference presentations or posters (if available). o Names and contact details of two