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for a highly motivated PhD student to conduct research under the supervision of Prof. Jef Vandemeulebroucke in the field of medical image analysis and artificial intelligence. The selected candidate will
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PhD Studentship - Process Industries: Net Zero CDT: Lifecycle & Systems Modelling of Future Marine Fuels and Engine Systems Award Summary 100% fees (UK home only), a minimum tax-free annual living
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evaluating computational methods, analysing imaging data, collaborating with clinicians for real-world impact, and contributing to publications. About You PhD (or near completion) in computer science
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PhD student at ILL on Advanced Neutron Imaging for Defect Mapping in Repaired Aero-Engine Components
underexplored. The aim of this PhD project is to develop and apply advanced neutron imaging methodologies in order to establish quantitative links between processing conditions, microstructural evolution
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 4 hours ago
Dynamics Resource Technology Processes is looking for a PhD Student (f/m/d) for bubble dynamics in water electrolysis. The position is subject to project approval. Your tasks # Carrying out experiments
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, multidimensional signal processing and audiovisual computing. We are a core member of IMEC, the world-leading research and innovation center in nanoelectronics and digital technologies. Our team is currently a
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for Machine Intelligence. We are seeking a candidate with a good Honours degree in Physics, Engineering, Computer Science or related discipline and a PhD in medical image processing/analysis (or equivalent
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faculty position in the Section of Diagnostic Imaging. Candidates must have a degree in Veterinary Medicine from an accredited veterinary school. Board certification in Veterinary Radiology (American
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About the role We are seeking a highly motivated research assistant with expertise in cardiac and extracardiac image acquisition and analysis to join the Raman research group at the Oxford Centre
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be evaluated for lung diseases imaging which are still challenging to diagnose and treat, despite advancements. We will carry out preclinical studies to evaluate the contribution in combination with