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environments, as well as reliable distributed signal processing and AI. Departmental duties may be offered. Entry requirements To be admitted to third-cycle studies, the applicant must meet both the general and
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sources, uncertainty quantification analysis of time series data and dynamic processes, where signals and responses evolve over time. Work with a wide range of data types, for example dietary records
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quantification analysis of time series data and dynamic processes, where signals and responses evolve over time. Work with a wide range of data types, for example dietary records, biomarkers, omics data, registry
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such as satellites, LEO constellations, fixed links, automotive radar, and Earth observation stations, using techniques from signal processing, communications theory, optimization, and AI. You will join the
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of the processes operating during the early stages of life’s emergence, shedding light on the distinctions between biosignatures and organosignatures, as well as between bio- and organoproxies, and how these signals
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two PhD student positions to carry out research with the Signal Processing group in the area of next generation space-terrestrial wireless communications and sensing. We are looking for ambitious and
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positions to carry out research with the Signal Processing group in the area of next generation space-terrestrial wireless communications and sensing. We are looking for ambitious and creative candidates with
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. Cilia are microtubule-based organelles that extend outward from polarized cell surfaces. Cilia perform essential sensory and signaling functions in animal development and physiology. Dysfunctional cilia
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or other technical applications—often represent the critical point where materials and molecular functionality is determined. The research task involves establishing a research direction involving advanced
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information, for example data derived from remote sensing, use point process models from the field of spatial statistics to model clustered patterns across the landscape, and develop methods for estimating