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Collaborative EPSRC Doctoral Landscape Award Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: UK Students Award value: Tuition fees and tax-free stipend - See advert for details
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 days ago
Engineering, Computer Science, Applied Mathematics or a related field. - A strong background in image processing or/and in computer vision is required. - Strong programming skills in Python. - Strong
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at the tumour margin represent a key target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing
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processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 300 dedicated employees. Additional
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1 Apr 2026 Job Information Organisation/Company Wrocław University of Science and Technology Research Field Engineering » Electronic engineering Researcher Profile First Stage Researcher (R1
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target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing on the glioblastoma infiltrative
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(Mechanical Engineering at UCL) will also collaborate, he specialises in imaging of additive manufacturing and will support the project by assisting with the in-process monitoring. We expect that the PhD
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of Mechanical, Aerospace and Civil Engineering. Tuition fees will be paid (at home rate) and you will receive a tax-free stipend set at the UKRI rate (£20,780 for 2025/26). We expect the stipend to increase each
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Royal Academy of Engineering (RAEng) Research Chair on distributed radar systems. The project covers UK tuition fees and the standard UKRI PhD stipend and has an allowance for project-related expenses
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Provide human experts with a reliable second opinion This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace, mechanical