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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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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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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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–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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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
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Dortmund, we invite applications for the Research Group Analysis of Microscopic BIOMedical Images (AMBIOM): PhD Candidate (m/f/d) The position is part of the DFG-funded project: ComplexEye - a 96/384-well
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Scheme funded by the AHRC. Project Description The project focuses on Take One Picture (TOP) – a national programme for primary schools launched in 1995 by the National Gallery (NG) – to develop a new
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Novel optics and AI approaches to image the centre of a live root for the first time. This exciting opportunity is based within the thriving Optics and Photonics Research Group in Faculty
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Qualification Type: PhD Location: Nottingham Funding For: UK Students Funding amount: Full tuition fee waiver pa (Home Students only) and stipend at above UKRI rates pa (currently at £20,780