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that candidates possess expertise in some (but not all, or even most) of the following areas: Applied mathematics, control engineering, and numerical optimisation Machine learning and/or data science Computer
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rather than the structured biofilms found in real-world environments. This project investigates how engineered surface topographies influence HGT dynamics, aiming to develop design principles for materials
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machine-learning-based surrogate models to accelerate design and control workflows. This PhD studentship would suit candidates with backgrounds or interests in engineering, physics, applied mathematics
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Description of the offer : PhD position in the Physics and Engineering of Nanodevices (PEN) Group at the Institut Català de Nanociència i Nanotecnologia (ICN2), Barcelona, Spain. Project Topic
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and textual conditions Primary experiments will be conducted in CARLA (https://carla.org), enabling controlled and repeatable evaluation of hallucinations under diverse driving conditions. The PhD
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Digital-Twin Technology to Accelerate Development of Electric Propulsion Systems This exciting opportunity is based within the Power Electronics, Machine and Control Research Institute at Faculty
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Generalisable, Physics-Aware Machine Learning for Gas Turbine Engines School of Electrical and Electronic Engineering PhD Research Project Directly Funded UK Students Dr Will Jacobs, Dr Andy Mills
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Distributed, robust and adaptive model predictive control (MPC) School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr P Trodden Application Deadline: Applications
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PhD Studentship: Robust quantum control for quantum error correction The development of fault-tolerant quantum computing is one of the most coveted aims of quantum technology. It will bring about a
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Required qualifications A Master's/PhD degree or equivalent in Chemical Engineering, Material Science, Material Engineering, Physical Chemistry, Water Engineering / Civil Engineering or similar