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closely with signal processing pipelines built on real measurement data — including baseband I/Q signals — and contribute to both algorithm development and experimental validation. The role involves close
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algorithms into efficient edge inference systems, and validate end-to-end performance under real-world deployment conditions. Throughout, you will work with live measurement data spanning the full arc from
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interface, and all the way to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and quantum algorithms that solve life
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Solution project " ASMADI - AI based Spectrum Monitoring for Anomaly Detection and Identification" to develop signal processing algorithms that enable autonomous detection, classification, and filtering
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September 2026 or as soon as possible thereafter. You can submit your application via the link under 'how to apply'. Gene duplication is a major driver of evolutionary innovation in plants and has played
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teams including the Theory and Simulations team, the Neutral Atoms team, the Spin qubit team, the Intra- and Inter-connects team and leads within the Applications and Algorithms team. Qualifications We
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working with large collaborative code projects Proficiency in applying AI-driven algorithms (e.g., neural networks, reinforcement learning) for the creation of surrogate models and the autonomous
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at the section of Plant Pathology and Microbiology, where we combine fundamental and applied research within plant disease epidemiology, including evolutionary and molecular interactions between plants and
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, algorithmic approaches Digital technology and business-society relations Digital methods and knowledge production Digitalisation, security and risk More description of the department, research area or project
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staff scientists from the fields of macroecology, historical biogeography, oceanography, evolutionary biology, community ecology, population biology, climate change research, conservation biology and