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nutrition, such as: analysis of time series data and dynamic processes, where signals and responses evolve over time. statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and
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at the intersection of acoustics, physical modeling, voice and health. During the PhD you will build a sought-after profile spanning acoustics, signal processing and clinical application, in strong demand in both
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already possess a doctoral degree at the date of recruitment. You must have Master degree or equivalent in Electrical Engineering with excellent grades. You should have knowledge of Digital/Mixed-Signal
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implemented to collect additional data for incorporation into the Health Passport. Advanced data analysis techniques, including synchronisation, correlation analysis, feature extraction, and signal processing
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data analysis techniques, including synchronisation, correlation analysis, feature extraction, and signal processing, will be employed to identify indicators of track and bridge condition. In parallel
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leading academic environment in this field, and contribute with our expertise in areas ranging from nanoelectronics, phototonics, signal processing, radio technology and acoustics to satellite technology
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; digital signal processing; computer-aided design of optical and photonic systems; LabView; MatLab/SimuLink) Scientific modules (Summer School; Karlsruhe Days of Optics & Photonics (KDOP); external