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to molecular indicators alone. We have now at our disposal a novel nanometer resolution 3D correlative imaging pipeline that combines light and X-rays and allows us to utilise the cellular landscape as a useful
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application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning
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) before the human eye can see them. The principal aim of this PhD research program is to develop methods to improve the hyperspectral image classification using deep learning techniques. The developed
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a set confidence level, typically 90% probability of detection. This project aims to take a radically different approach and integrate the array images with structural integrity assessment to predict
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23 Jan 2026 Job Information Organisation/Company European Synchrotron Radiation Facility Research Field Physics Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application
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for imaging blood flow dynamics in cancer using nuclear imaging techniques. This position involves pursuing a PhD thesis under the supervision of Dr. Pellico as part of the project "NanoFLOW” funded by
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–2 years, total 3–4 years) on deep learning for medical imaging. This DFG-funded project focuses on developing deep learning methods for medical and scientific imaging. The Professorship for Machine
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resources. In this particular PhD-position you will have the opportunity to develop, optimize and validate advanced MR metabolic imaging methods, for 3T and 7 Tesla MRI, that provide quantitative maps
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9 Jan 2026 Job Information Organisation/Company Institut Català de Nanociència i Nanotecnologia Research Field Chemistry Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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Supervisors: Prof Ioan Notingher (School of Physics and Astronomy) Dr George Gordon and Dr Abdelkhalick Mohammad (Faculty of Engineering) Funding: fully-funded (stipend and PhD fees) Start date