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accelerating its practical adoption in construction and beyond. The Research Fellow is expected to: • Assist the design and lead the commissioning and operation of the new metal additive manufacturing
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national and international partners. The PhD project will focus on integrating advanced photogrammetric techniques applied to historical aerial imagery with modern deep learning-based image classification
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for the position The University of Bergen is subject to the regulations for the export control system. The regulation will be applied in the processing of the applications. About the PhD position: About the PhD
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(negative stain & cryo-EM). High-resolution data collection and image processing. Candidates will have hands-on experience in these areas and a passion for molecular biology and imaging. About you The
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,USA and Europe nationals. You will be part of a world-leading team in correlative in situ imaging of advanced manufacturing processes, with strong links to synchrotron facilities and industrial
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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. The regulation will be applied in the processing of the applications. About the PhD position: The fellowship will be for a period of 3 years, with the possibility for a 4th year contingent on the qualifications
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postdoctoral research associate to join our multidisciplinary team led by Dr. Rossiter, including clinicians, bacteriologists, structural biologists and advanced microscopy and imaging specialists. The project
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. Special requirements for the position The University of Bergen is subjected to the regulation for export control system. The regulation will be applied in the processing of the applications. About the PhD
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, functional MRI, diffusion-weighted imaging, and EEG, in combination with genetic data (GWAS, bioinformatics) from large-scale population cohorts. Positioned at the intersection of biological psychology