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of projects. Key Responsibilities: Review the literature related to UAV communications and networking Develop new AI algorithms for UAV networking and management Implement and test the algorithms under
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fatigue; (ii) development of physical activity session adaptation algorithms based on these markers, with the definition of concrete adaptation rules (e.g., increased eye saccades, VAS/Borg scores >6); and
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to RNA-seq, except that these are restricted to RNA sequences that have been translated. The goal is to develop computational algorithms and tools to analyse such sequencing data, to predict translated
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experimental research as well as data analysis and algorithm development. Students with either an undergraduate honours degree (1st) or MSc (Merit or Distinction) in engineering, mathematics, neuroscience
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bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages
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resolution techniques are explored to achieve quantitative reconstruction of nanoscale structure images by developing novel DUV/EUV imaging optics and quantitative phase retrieval algorithms. A qualified
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, contribute to cutting-edge research in the field of emerging sensing technology, and research publications. Develop, test and evaluate novel AI algorithms to advance multi-modal sensing in resource constrained
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Systems Section - and - EO Data Architect and AI Expert in the Ecosystem Development Section within the Copernicus Ground Segment and Data Management Division, Earth Observation Mission Management and
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on optimal sequential decision-making in critical healthcare. The project aims to develop mathematical foundations for rigorous, interpretable, and data-driven decision models that integrate: Markov Decision
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advanced mathematical algorithms and AI frameworks for modeling and optimizing power electronic components and systems. To support our team, we are looking for a working student (all genders) in the field