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PhD in B-modes of Galaxy Shapes Faculty: Faculty of Science Department: Department of Physics Hours per week: 36 to 40 Application deadline: 20 September 2025 Apply now The Institute
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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- looking. Sensor technology plays a key role in this transformation, enabling real-time monitoring, automation, and intelligent decision-making. Despite these needs, many water treatment processes still rely
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chemistry and future technologies’ with Professor Patricia Hunt (Victoria University of Wellington) Future Computing research programme In this research programme we are developing materials and technologies
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Motivation: Soft and flexible materials (e.g. polymers, hydrogels) have revolutionised many areas of science and technology ranging from flexible electronics to soft robotics. Scientists now predict
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reactions affect the transport of fluids in the subsurface? Required skills, expertise and experience Masters degree in petroleum, reservoir engineering or computer science. We offer: For the right candidate
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Description of the offer : The condensed matter theory group at Institut Néel (CNRS, Grenoble) invites applications for a three-year PhD position in condensed matter physics starting from October
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Supervisors: Professor Richard Hague1 , Professor Chris Tuck1 , Dr Geoffrey Rivers1 (1 Faculty of Engineering) PhD project description: Inkjet printing allows multiple materials to be 3D-printed
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Applications are invited for a PhD project within the Faculty of Engineering, in the Centre for Additive Manufacturing research group (CfAM) at the University of Nottingham. The student will work in