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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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hOss histology Experience with human leukemia Knowledge of cellular biology techniques, 2D/3D cell culture, and flow cytometry of human blood populations Ability to work with laboratory animals
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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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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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, second and third cycles of studies Optical and mechanical design, raytracing, CAD and 3D printing. Multivariate calibration of hyperspectral instrumentation. Planning and conducting lidar field campaigns
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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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element simulations frameworks. Optionally develop experimental lab skills including plant growth, sample preparation and 3D confocal microscopy. This postdoctoral fellow will be housed in IceLab and hosted
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spatial problem (e.g. 3D puzzle). The tasks to be carried out are: (i) scene understanding: detection of objects and relations between objects, and use of these relations to infer new knowledge (i.e