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’ algorithms, however these may not provide physically interpretable results or quantifiable uncertainty. We propose developing data pipelines combining advanced preprocessing techniques, statistical tools, and
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simulation skills while gaining deep expertise in electromagnetic propagation, sensor technology, and applied physics. Why Cranfield? Cranfield University is a recognised leader in defence, aerospace, and
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dynamic and uncertain environments [1]. A key application of such systems is in the Internet of Things (IoT), where networked sensors and actuators enable real-time adaptation to environmental changes
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algorithms, have excelled in tasks like computer vision, image recognition and large language models (LLM). However, their reliance on extensive computational resources results in excessively high energy
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. The project will focus on the development a set of robotic prototypes capable of both climbing and manipulating large-scale space assets using a combination of novel gripper designs and locomotion algorithms
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allow you to explore the fundament physical limits of the technique and to create new image reconstruction algorithms. This project offers the opportunity to produce new techniques in imaging physics
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, programming and algorithm development, automation and online analytics. This project would be ideal for an ambitious and innovative researcher who enjoys working in a diverse and interdisciplinary team and is
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Physics graduates with a strong background in Fluid Mechanics and Heat Transfer. The work will involve the use of flow diagnostics techniques and post-processing algorithms. It will also require
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, and optimisation of sensors and wearable electronics for selected healthcare and sports applications. Your Group This project is part of the prestigious Loughborough University Vice Chancellor’s PhD
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degree (or international equivalent) in physics, engineering, or a related discipline. A strong interest in applied science areas such as RF, laser technologies, or sensor systems. UK nationality and the