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that pollutants posed to cultural artefacts and buildings, and the ways that curators, conservators, scientists, critics, artists and the public responded, this PhD project will develop new understandings
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extract far more information from EM measurements than ever before, creating new opportunities for fast, reliable, and quantitative non-destructive evaluation (NDE). This PhD is focused on developing
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Prof Jon Heffernan Application Deadline: Applications accepted all year round Details The EPSRC National Epitaxy Facility has a funded PhD studentship available for research and development in AI
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an archive, library, museum, or heritage institution, that includes responsibility for collections management, relevant archival research, collections curation and development, and/or public engagement
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patients in Dr Sreedharan’s clinic. In the lab, the student will learn a broad pallet of techniques to enable them to perform cutting-edge research to develop urgently needed treatments for ALS. The student
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electronic properties. The development and application of state-of-the-art experimental techniques are therefore central to progress in this field. In this PhD project, the successful applicant will work as
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development of wide bandgap device-based integrated motor drives, advanced control techniques for next-generation drives, and innovative approaches to reducing passive components in electric drive systems. Your
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observed, a challenging task due to the extreme radioactive environment. The aim of this project is to use experimental and modelling approaches to develop a detailed understanding of the physical
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information theory, and quantum technologies. For additional information, please visit: https://dakic.univie.ac.at/ . Your future tasks: You will actively participate in research, teaching & administration
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the complex multiscale nonlinear interactions at the origin of such extreme events. In this project, you will develop machine learning-based reduced-order models which can accurately forecast