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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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with industry, academia and other stakeholders. The project is multidiciplinary, and also includes experts in medical image analysis from the department of Electrical Engineering and experts in clinical
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KTH Royal Institute of Technology, School of Engineering Sciences Job description The AICell Lab (https://aicell.io ) in the department of Applied Physics at KTH and Science for Life Laboratory is a
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be part of a larger interdisciplinary research team consisting of professors, researchers, engineers, and PhD candidates. It will be primarily affiliated with the Section for Genetics, Evolution and
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at the Division of Biomedical Engineering Department of Materials Science and Engineering, Uppsala University Full-time temporary position for two years starting in September 2026, or as agreed upon
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opportunities to make an impact. You will be employed as a Senior Associate Professor at the Department of Science and Technology (ITN), with your workplace located at the Center for Medical Image Science and
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knowledge of Swedish is not necessary. Having courses, a thesis or publications in digital image processing, computer vision, machine learning, neuromorphic computing, or artificial intelligence is a merit
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partners and will contribute to prototype development and evaluation in realistic settings. The doctoral student will be involved in several stages of the research process, from requirement analysis and
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/dansi08 ). LOE is part of Linköping University’s Department of Science and Technology, located on the river Motala Ström at Campus Norrköping. You can read more about Norrköping here: https://visit
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to work at Uppsala University https://uu.se/om-uu/jobba-hos-oss/ The position may be subject to security vetting. If security vetting is conducted, the applicant must pass the vetting process to be eligible