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for visualization of scientific data. Currently, InfraVis employs over 50 experts across nine universities. CIPA is Lund University’s local infrastructure for image processing and analysis. CIPA is also the
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, transcriptomics, bioinformatics, and advanced imaging. Within the research group, we value a positive work environment characterized by respect and consideration in our relationships. We continuously strive
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related subject. Proven experience with X-ray imaging techniques, e.g. µCT, nanoCT, TXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability to work both
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-situ/operando experiments to study material processes during, for example, mechanical, thermal or fluid loading; development of effective image processing/analysis approaches for large volume 3D/4D data
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subject. Proven experience with X-ray imaging/diffraction techniques, e.g. XRD-CT, 3D-XRD, µ/nanoCT, STXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability
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reputation for its broad research focused on long-term processes, where economic theory and quantitative methods are important methodological tools. Strong research areas at the department include economic
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of various nanoparticle shapes will be studied, for example through lysosomal rupture. The project will also aim to conduct the first demonstration of antibody-guided imaging and potential therapy using