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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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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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software or similar languages and experience with modern machine learning and deep learning frameworks parallel computing using clusters like UPPMAX and GPUs for high-performance computing and parallel
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levels of curiosity, independence, and excellent organisational skills High levels of critical thinking, problem solving, and a general drive to learn new concepts and methods Advanced skills in
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description of the workplace The Division of Synchrotron Radiation Research (http://www.sljus.lu.se ) is a
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on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
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-partner Marianne Palmér ([email protected]), +46-(0)480-447303 For more information on Linnaeus University and the Department of Biology and Environmental Science see Lnu.se https://lnu.se/en/meet
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data analysis, such as signal processing, modeling, statistics, or machine learning Excellent written and verbal communication skills in English, particularly in a research context It is meriting to have
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recruitment initiative Gothenburg Global Scholars. Learn more about the initiative and the University here: Gothenburg Global Scholars. Sahlgrenska Academy is the medical faculty at the University
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inference, longitudinal methods, survival analysis, regression modeling, machine learning, or prediction modeling are required, as well as experience with statistical software such as R, SAS, or STATA