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Field
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frameworks for distinguishing closely related quantum processes that arise in light-matter interactions, and to use these frameworks to extract fine spectral or temporal information from weak or structured
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complex systems. Development and application of theoretical tools that combine experimental data and atomistic computer simulations to provide a comprehensive picture that is difficult to achieve through
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Profile First Stage Researcher (R1) Positions PhD Positions Country Spain Application Deadline 7 Jan 2026 - 23:59 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Hours Per Week 38,5 Offer
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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry
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frameworks for distinguishing closely related quantum processes that arise in light-matter interactions, and to use these frameworks to extract fine spectral or temporal information from weak or structured
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focus on quantum channel discrimination for high-resolution spectroscopy and AC field sensing. The project aims to develop theoretical frameworks for distinguishing closely related quantum processes
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Manufacturing and/or AI Robotics. Focus areas include: yield/defect causal analysis and XAI; process-variation monitoring and root-cause analysis; intelligent scheduling/dispatching for WIP/throughput (multi
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, is required. Demonstrated experience in research projects. Specific Requirements Experience in satellite image processing (Sentinel, Landsat, MODIS, etc.) LanguagesENGLISHLevelGood Additional
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genetics, genomics, imaging processes, computational biology and biochemistry. Our goal is the deep and detailed understanding of fundamental mechanisms in plant biology, which may also then be used
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for Plant Breeding Research conducts basic research on plants and their development using a wide variety of methods, in particular molecular genetics, genomics, imaging processes, computational biology and