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scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available to UK (Home) candidates only. Fully-supervised AI techniques have shown remarkable success in
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methodology and software for Probabilistic Resilience Analysis (PRA) of major hazard plants and nearby communities under NaTech multi-hazard accidents. Define resilience indicators and recovery functions based
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Funding for: UK/Home Students We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available
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Failure Analysis of Composite Sleeves for Surface Permanent Magnet Electrical Machines This exciting opportunity is based within the Power Electronics, Machines and Control (PEMC) and Composites
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spin-burst experiments, will complement advanced finite element analysis (FEA) in evaluating failure behaviour. Who we are looking for An enthusiastic, self-motivated, and resourceful candidate with a
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
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and determination? We are currently seeking a/an PhD in AI-assisted proteomic data analysis applied to Human Health 50 Faculty of Life Sciences Job vacancy starting: 01.09.2025 (MM-DD-YYYY) | Working
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on soil organic matter cycling Literature research and (meta-)analysis to provide evidence-based knowledge for model parameterization Quantify the coupled carbon and energy turnover of specific biomolecules
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early ‘prodromal’ stages) is yet to be established in large community settings. This PhD project will examine the effectiveness of AI-based analysis of eye images in predicting cognitive/neurodegenerative