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dynamic and interdisciplinary team, you will collaborate with experts in circuit design, signal processing, and emerging semiconductor technologies. The research environment fosters innovation through open
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observed pipe failures, and interpreting indirect observations from remote sensing platforms such as drones and satellites. Another challenge is linking these observations to physical processes affecting
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processes, signalling pathways and traits that improve crop resilience. This work package closely collaborates with other REAP2SOW WPs addressing nutrient efficiency, and nutritional quality to guide genotype
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on monitoring complex, superposed deformation signals caused by deep subsurface processes (gas storage, production, and injection) and shallow processes (soil compaction, groundwater dynamics), using satellite
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) modulation, digital signal processing (DSP), and power-efficient IC design. The results of your research could potentially pave the way also for breakthroughs in other applications that demand large arrays
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- https://employment.ku.dk/phd/?show=155828 You may indicate up to three DC positions of interest. In case of interest in multiple DC positions, a single application suffices, unless this includes one
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obtain high-resolution deep-tissue images from clinically relevant samples. You will realize this by applying superresolution and 3D Fourier OCT signal processing techniques. Third, the OCT system must be
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in the face of climate change and increasing weather extremes that affect ecosystem functioning. The programme brings together interdisciplinary expertise spanning natural, social, and technical
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and increasing weather extremes that affect ecosystem functioning. The programme brings together interdisciplinary expertise spanning natural, social, and technical sciences. Within REAP2SOW, our work
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interdisciplinary expertise spanning natural, social, and technical sciences. Within REAP2SOW, our work package, comprising two PhD projects, will focus on designing resilient, sustainable and biodiversity-positive