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machine learning for next-generation wireless networks, (ii) Foundations of semantic communications and age of information, (iii) Stochastic geometry and spatial modeling of large-scale wireless systems
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the 01.10.2022. Your Responsibilities: You will work at the cutting edge of privacy-preserving deep learning research with a focus on one or more of the following topics: - Optimal model design for differentially
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). Internal communication is in German. Therefore a basic knowledge of German or the willingness to acquire such knowledge is essential. Work Location(s) Number of offers available1Company/InstituteDepartment
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scientific community the language used may be German, English or another (if unanimously decided). Internal communication is in German. Therefore a basic knowledge of German or the willingness to acquire
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application! We are looking for a PhD student in Visualization Technology and Methodology with a focus on interactive visualization, visual learning, science communication, and educational science, formally
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Entry Requirements - Swansea University Knowledge in biology is not essential, but the candidate will be required to learn appropriate biological and clinical knowledge in order to develop mathematical
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factors (learning curve). These will be linked with the CCTA imaging biomarker data (quantitative plaque analysis) that is being collected as part of the EU HORIZON TARGET study to determine personalised
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disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with
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of Philosophy in Chemistry (PhD) Deep blue thermally activated delayed fluorescence: Unlocking their potential as energy transfer visible light photocatalysts Cariad Knight Doctor of Philosophy in Physics (PhD
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of the IMPRS: An overview course on biogeochemical cycles and core courses that introduce the PhD researchers to scientific fields relevant to global biogeochemical cycles in which they have no deep knowledge as