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We are seeking a highly motivated candidate with expertise in single-crystal X-ray diffraction (SCXRD) for a two-year postdoctoral position in materials science at the DanMAX and SINCRYS beamlines
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synchrotron or laboratory 3D diffraction imaging is considered as a significant advantage. Excellent English communication skills are also essential As a formal qualification, you must hold a PhD degree (or
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20 Sep 2026 Job Information Organisation/Company Aalborg Universitet Department The Faculty of Medicine, Department of Health Science and Technology, Medical Informatics and Image Analysis Research
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At the Faculty of Medicine, Department of Health Science and Technology, one or more PhD stipends in Unsupervised Learning for Medical Image Analysis are available for appointment from November 1
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We hereby invite applications for one or more PhD position focusing on the development and application of hyperspectral imaging technologies for bulk forensic evidence analysis. The project aims
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total scattering, WAXS and SAXS, imaging, and femtosecond X ray diffraction to probe structure and dynamics in real time under device relevant conditions. Target facilities include DESY, MAX IV, European
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and to be more specific cross-sectoral health care pathways for people with chronic disease. The project aims to develop cross-sectoral care pathways that can contribute to more coherent, person-centred
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of materials and devices during switching, combining methods such as laser pump and X ray probe total scattering, WAXS and SAXS, imaging, and femtosecond X ray diffraction to probe structure and dynamics in real
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PhD Scholarship in University Students’ Learning Via Digital Twins of Neutron Scattering Instruments
. The digital twins will allow students to perform virtual experiments. ACCESS will make digital twins for ESS instruments on imaging (ODIN), inelastic scattering (BIFROST), small-angle scattering (LOKI) and
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) programme in Artificial Intelligence Engineering. You will be responsible for teaching courses in topics such as machine learning, deep learning, MLOps, image processing, and computer vision, and you will