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Overview:Fully Funded, £23,237 Tax-Free Stipend + £7,000 for Research & Travel, Co-funded by MBDA Are you driven by cutting-edge research and excited to shape the future of energy transfer technologies? Join the EPSRC Energy Transfer Technologies Doctoral Training Hub and embark on a fully...
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Apply now The Faculty of Science and Leiden Institute of Advanced Computer Science (LIACS) are looking for candidates for a PhD in Computational Imaging for Cultural Heritage (1.0 fte) As a PhD
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Your Job: We are offering a PhD position dedicated to the advancement of cryo-EM image analysis methods at the interface of Structural Biology and Electron Imaging at the Forschungszentrum Jülich
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the sites to normal use. X-ray backscatter imaging is a non-destructive analysis technique, where X-rays are directed at a target and Compton/back-scattered photons imaged. Existing industrial systems with
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CNRS (Centre national de la Recherche Scientifique) | Marseille, Provence Alpes Cote d Azur | France | 3 months ago
the behaviour of fluorescent single molecules in biological samples by optical microscopy, is to be able to report their spatial localization in 3D within 10’s nm precision, providing super resolution imaging and
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Aviation by 2050. This exciting doctoral project, in collaboration with Rolls-Royce, will develop innovative computer vision methods which when combined with optical flow velocimetry will enable imaging
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of positron emission tomography (PET) imaging in modern medicine. PET scans help doctors diagnose cancer, understand how far it has spread, and monitor how well treatments are working. However, variations in
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. The research combines cutting-edge experimental methods, including femtosecond lasers and velocity map imaging, with theoretical modeling. Link to the group's website for more information on research
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positions to pursue PhD projects in the areas of biology, chemistry, physics, mathematics or computer science. We are looking for young scientists with a vivid interest in interdisciplinary projects to image
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would