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activities relating to 3D/4D X-ray micro-tomography image quantification using machine learning tools. The employment will be at the Department of Solid Mechanics at Lund University and the work will be
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, from medical imaging—where we design advanced tools for diagnosis and decision support—to general vision tasks such as autonomous navigation, image-based localization, 3D reconstruction, and object
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, transcriptome analyses and 2D and 3D image analyses, the latter using OPT and LSFM. The study also requires routinely used developmental and molecular biology methods, such as cloning of expression constructs
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, or similar. Good knowledge in programming (e.g. C or python) Experience in 3D image segmentation. Track record of producing high-quality research Documented pedagogical skills and pedagogical training
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investigates inflammation in health and disease using cutting-edge exposure systems and advanced 2D and 3D cell models. In parallel, NanoSafety2 focuses on the toxicity assessment of particle emissions from
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physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining