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emphasis on on board processing and the fusion of RF signals with additional supporting information—such as AIS data or optical imagery. The payload may also be used to detect GNSS jamming and spoofing
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. The research will also involve using software-defined radios (SDR) and digital signal processing for antenna beamforming. The payload may also be used to detect GNSS jamming and spoofing events. The project is
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also involve using software-defined radios (SDR) and digital signal processing for antenna beamforming. The payload may also be used to detect GNSS jamming and spoofing events. The project is funded by
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Digital. The research focuses on advanced signal analysis and machine learning methods that enable robust operation and service continuity in future wireless networks under challenging radio conditions. As
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clinical risk factors? 4. How can prediction models be validated to ensure they are trustworthy and reliable for integration into living digital decision aids at the point of care? About the PhD program The
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Digital. The research focuses on advanced signal analysis and machine learning methods that enable robust operation and service continuity in future wireless networks under challenging radio conditions. As
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of support they receive, or fail to receive, during the migration process. A total of four PhD candidates will work on the project together with an international and multidisciplinary team of senior
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clinical risk factors? 4. How can prediction models be validated to ensure they are trustworthy and reliable for integration into living digital decision aids at the point of care? About the PhD program The
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goal of the project is to identify reliable behavioral and physiological markers that signal good welfare and robust gut–brain health. The study investigates how physical activity and hay shape behavior
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practice and clinical and biomedical research. The CAG consists of three projects: 1) Acute infections& sepsis, 2) Difficult-to-treat infections and 3) Early life microbiome, all supported by