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at the forefront of international research and enabling full exploitation of next-generation observations and Exascale computing. We are seeking a highly motivated Postdoctoral Research Associate to join this
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. To fill in this gap, in collaboration with industrial partners, the research will develop novel Machine Learning and Computer Vision methods for detecting and localising. These will be used to develop
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Process Induced Neural Networks for Environmental Data Analysis and AI for Data Adjustments
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pathway. However, in many patients, the great benefits of immunotherapy can be accompanied by unwanted toxicity or side effects which can be serious and even life-threatening. The E-IMMUNE Programme
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)/Modernising Medical Careers (MMC) integrated academic training pathway. The post forms an integral part of the CG clinical academic training programme led by the Training Programme Director Professor Meena
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diseases, combining biomechanical experiments, micro-Computed Tomography imaging, Digital Volume Correlation, and Nanoindentation. The position is funded as part of the project “ChildBone: A novel digital
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programme. This is an exceptional opportunity to gain experience in medical device innovation, translational research, and clinical validation. The ideal candidate will have a background in biomedical or
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Application/interview Good working knowledge of a relevant computer programming language, for example Matlab, Python or C/C++. Essential Application/interview Good working knowledge of software packages
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Overview Inspired by the human brain, neuromorphic computing aims to tackle the growing energy demand of AI-based systems. We have an exciting opportunity to join the School of Computer Science as
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”. This exciting opportunity involves leading the development of advanced data-driven mathematical and computational models to suppress turbulence in pipe flows, contributing to pressing engineering efforts toward