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technologies represent a convenient opportunity to automate complex code analyses and transformation to obtain improved characteristics in the output code. Modern initiatives rely on a multi-layer approach to
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development using two-photon calcium imaging, confocal microscopy, and relevant image processing and data-analytical tools. Therefore, this project requires a truly multidisciplinary approach, where
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fundamental to achieve the goals of the European Green Deal. Although offshore wind energy has an important degree of maturity, this technology requires to experiment a change of paradigm to guarantee a
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objective is to introduce CT scanning in temperature- and humidity-controlled environments, combined with image processing, as a powerful tool for continuous non-destructive and non-contact 4D studies of bio
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studies using biochemical analysis, imaging tools and transcriptomic approaches. Compounds that exhibit immunomodulatory and/or antioxidant effects will be further explored to validate their effectiveness
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blot, flow cytometry, RNA interference, RNA isolation and cDNA generation. The candidate should master imaging techniques such as confocal microscopy. The candidate should have experience in animal work
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affiliated with the Multimodal Imaging Group at the Department of Psychology and will be integrated with the Centre for Precision Psychiatry (https://www.med.uio.no/klinmed/english/research/groups/precision
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a prototype for identification of critical locations in steep rivers in regard to flash floods was developed. The prototype is implemented in NorKarts GIS application. The project revealed a large
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-photon miniscope (MINI2P) for high-resolution multiplane imaging of thousands of neurons in the cortical tissue of freely moving mice (W. Zong et al., Cell, 2022). This transformative technology was
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2025 The project is a multidisciplinary initiative between the Faculty of Biosciences and the Faculty of Science and Technology. The main goal is to develop a sustainable weed management and image-based