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of benchmarking Develop necessary hardware and/or software capabilities relevant to the topic Collect necessary data Perform various experiments to document system development and benchmark against performance
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seeking a PhD candidate in computer architecture. The research focus of this PhD position is the design of performant and energy-efficient Edge Artificial Intelligence (AI) accelerators. Such accelerators
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surface patterns. This will support the study of artists’ techniques, enable enhanced visualization, and facilitate change monitoring over time. The project will also develop a visualization architecture
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visualization, and facilitate change monitoring over time. The project will also develop a visualization architecture for presenting multiscale and multirange hyperspectral datasets, tailored to the needs
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or communication systems Understanding principles for RF system architecture, circuit design, signal processing, antenna beamforming, and use of software-defined radios (SDR) Experience with CAD and microwave/EM
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or communication systems Understanding principles for RF system architecture, circuit design, signal processing, antenna beamforming, and use of software-defined radios (SDR) Experience with CAD and microwave/EM
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contribute to the design of a suitable GNSS-R payload, including RF architecture and on-board processing system. The candidate will contribute to research on suitable on-board (edge) processing techniques
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the spectrum of possible tectonic and magmatic architectures. Using geophysical and geological datasets, we will conduct systematic mapping of the structural, stratigraphic, and volcanic geometries, in
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are few, tightly governed, and often one-way (e.g., via data diodes). At the same time, these infrastructures are typically multi-vendor: operations depend on equipment, software, and tooling from several