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                Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Pancreatology Research Group at the Department of Surgery The doctoral 
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                funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Our societies rely on computer systems and on software stacks. Unfortunately, software 
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                educational programs in Computing Science, we are now seeking a PhD student with a focus on Computer Security. The Department of Computing Science has been growing rapidly in recent years, with a focus on 
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                Description of the workplace The Diagnostic Radiology research group performs research related to clinical imaging diagnostics. LUCI (Lund University breast Cancer Imaging) is an interdisciplinary 
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                related to clinical imaging diagnostics. LUCI (Lund University breast Cancer Imaging) is an interdisciplinary group of scientists and medical professionals, mainly focused on innovative clinical imaging 
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                focus on image processing and restoration, to develop novel AI-based approaches to restore and denoise Transmission Electron Microscopy (TEM) images. This position is part of a cross-disciplinary research 
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                fast-paced research environment, a structured and organized approach is highly valued. You will work in a team of researchers from diverse backgrounds, including PhD students and postdocs, and should 
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                , Experience in image processing and image analysis of tomographic or other imaging data, High motivation, ability to quickly learn new techniques, and strong time management skills, Strong collaboration and 
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                primary duty of this position will be research within the subject area of lead-free piezo(electro)ceramic and electrochemical processes. The researcher will be responsible for designing and carrying out 
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                processes such as metabolic flux readouts and analyses of signaling pathways. In this way, the project integrates discovery-based proteomics with mechanistic experiments to directly link protein localization