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at Lund University Work assignments The doctoral student will work in a translational project in the field of pancreatic cancer. The aim of the doctoral project is to develop a proteomics-based blood test
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analyses and machine learning. Some data for the project already exist, but additional data will be collected from behavioural tests on privately owned pet dogs in Sweden and abroad (Europe). Travel and time
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TRS test section for Chalmers test rig and implement it in the rig with supervision from research engineers at Chalmers. Perform aerothermal measurements in the test rig at Chalmers and use data
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collected from behavioural tests on privately owned pet dogs in Sweden and abroad (Europe). Travel and time spent abroad should therefore be expected during data collection periods. The project offers rich
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cancer. The aim of the doctoral project is to develop a proteomics-based blood test for early diagnosis of pancreatic cancer and validate the test in relevant risk groups. Furthermore, the project includes
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genetic, phenotypic, and environmental data, testing when and how evolution can be forecast. As a PhD student in our group, you will gain hands-on experience in computational and mathematical modeling and
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, vulnerability detection, exploit mitigation techniques, scalability, software systems, software quality, malware, computer security, fuzzing, software testing. The project is funded by WASP. Wallenberg AI
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at the same time so special. The originality of the experiments is in the combination of X-ray based scattering and imaging methods to monitor the changes at the particle scale during testing. Research
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will work on projects where research meets real-world challenges. This includes developing soil moisture maps to reduce damage from forest machinery, testing innovative methods to control pests in
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bridges fundamental understanding with advanced modelling and testing capabilities, applied to real-world engineering challenges. We are internationally recognised for our expertise in experimental testing