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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
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, data compression, data quality, adaptive sampling, adaptive transmission, low energy consumption The PhD project has the working title Embedded signal processing for wireless underwater sensors. This is
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the project/work tasks: Keywords: Onboard processing, data compression, data quality, adaptive sampling, adaptive transmission, low energy consumption The PhD project has the working title Embedded
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, they must be compressed before upload. Please note that information on applicants may be published even if the applicant has requested not to be included in the official list of applicants - see Section 25
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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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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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close to atmospheric pressure and cryogenic temperature (around -253°C) and allows increasing storage capacity of more than 100% with respect to compressed hydrogen at 70 MPa when the same storage volume is
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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