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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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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
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of Information Technology website . The project will be led by Professor Carolina Wählby , within the Image Analysis unit of the department’s Vi3 division, working alongside researchers developing numerical and
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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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modeling, 4D imaging radars, distributed sensing, and tracking. SPARC has also collaborated with long-term industry partners such as IEE S.A (www.iee.lu ), University of Naples Federico II, US Air Force
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for improved cancer understanding, diagnostics, and
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This specific project, with Prof. Michael Holynski at University of Birmingham, is on novel momentum separation and scaling schemes for atom interferometry. It will form part of QuSIT's Underground Infrastructure work package. This is an opportunity to join a cohort of post-graduate researchers...
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synthesis of in vivo imaging probes. While this position is based in the LAC, our group has diverse knowledge in various topics including organic synthesis, imaging, and nanotechnology. This project will
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to cutting-edge biomedical imaging research and enhancing our understanding of the brain? The BrainEcho Lab within the department of Neuroscience at Erasmus MC is looking for a passionate PhD candidate to join
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inclusion of patients, communication with the clinical providers, acquisition of images amongst others. In parallel to the clinical study, focus will be on improving PET/MRI acquisition and developing