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, PhD students and scientific officers. It is one of Europe's leading cancer research centres, supporting cutting-edge work into the molecular mechanisms of cancer development. As well as core support
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. Person Specification First degree in area of materials, manufacturing, mechanical engineering, solid state physics or a related discipline Doctoral degree (such as PhD), or close to completion of a
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
) in a relevant discipline such as aerospace engineering, mechanical engineering, electrical engineering, computer science, applied mathematics, or a closely related field. Experience or interest in
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calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by Heriot-Watt University. Detailed Description We are looking for a PDRA to complete the work
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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Ae Village, Scotland | United Kingdom | 3 months ago
, microbiomics, metabolomics, and immune system markers. The school leverages this data and advanced AI and medical, and computational models to generate insights into disease mechanisms, identifying novel
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. By unraveling these mechanisms, we hope to uncover the physical rules of this optimal arrangement, much like solving the puzzle of the perfect tetris game! Project Scope: This multidisciplinary PhD
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approaches, CECS offers Bachelor of Science degree programs in four majors: Electrical Engineering, Mechanical Engineering, Computer Science, and Data Science. In addition, CECS starts a PhD program in
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to improve model simulation, and attribution of the impacts of SAI Design further AI/ML approach to test hypothesised mechanisms that emerge from the analysis Main Duties The responsibilities may include some
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translate world-leading research on scientific understanding of disease mechanisms into innovative therapeutic approaches. Our vision is to play a leading role in discovering new medicines in areas of high
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This PhD at Cranfield University explores the development of resilient, AI-enabled electronic systems capable of detecting faults and autonomously recovering from failures in real time. The project