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Field
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machine learning. The position will involve working with different research groups in the Department of Computer Science at the University of Cambridge, UK. In this collaborative project, we will apply
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railway earthworks. Additionally, the project will integrate environmental data through data fusion and develop automated machine learning tools for anomaly detection and risk assessment. The effectiveness
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. This position focuses on investigating hydrogen and ammonia injection and ignition in engines for transport systems. College / Directorate College of Engineering, Design & Physical Sciences Department Department
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. This position focuses on investigating hydrogen and ammonia injection and ignition in engines for transport systems. College / Directorate College of Engineering, Design & Physical Sciences Department Department
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(full time)’ as the programme of study You will then need to provide the following information in the ‘Further Details’ section: · a ‘Personal Statement’ (this is a mandatory field) - upload a
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of statistics and quantitative data analysis, hands-on experience with R or Python strong interest in prototyping commitment to and interest in the design and implementation of Open Science/Open Source practices
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Application deadline: All year round Research theme: Photonics, Quantum technology, Optomechanics This 3.5-year PhD project is funded by the Department of Engineering. The position is part of
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Electrical and Electronic Engineering Department, Imperial College London PhD Studentship in Strategic Power System Planning Position Summary: Applications are invited for a PhD studentship, to be
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21 Aug 2025 Job Information Organisation/Company University of Cambridge Department Department of Engineering Research Field Neurosciences » Neuroinformatics Engineering » Control engineering
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Are you ready to push the boundaries of engineering innovation and accelerate the world’s transition to carbon-neutral energy systems? Join the Thermofluids Group in the School of Mechanical