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, architecture, and development of prototype and product versions of our semiconductor test tools. Translate research algorithms into production-grade, maintainable software. Build and manage a small high
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under dynamic workloads, strict real-time constraints, and limited computational resources remains a key technical challenge. This PhD project addresses these challenges by developing efficient
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Systems Section - and - EO Data Architect and AI Expert in the Ecosystem Development Section within the Copernicus Ground Segment and Data Management Division, Earth Observation Mission Management and
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optimally for future challenges. This PhD position is part of the SecReSy4You MSCA Doctoral Network, which focuses on developing next-generation methods for security and resilience of cyber-physical systems
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emerging big data technologies, to maximise impact and benefits for society. Reporting to the Head of the Applications Section, you will be responsible for defining and managing EO research and development
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the definition, design and development of PNT system evolutions, including multilayer systems and related technologies, and covering end-to-end system, architecture, signal, performance, receiver, algorithms and
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remote sensing technology and real-time turbine control. Your focus will be the development of a predictive capability that allows turbines to react to the wind before it hits the blades. Using upstream
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develop personalised biofeedback methods that train youth and police to recognise subtle, often unconscious, signals of stress. It will enable target groups to react more adequately in stressful moments by
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theory? Do you want to develop cutting-edge control algorithms for the security and resilience of cyber-physical systems? We welcome you to apply for a PhD position in the SecReSy4You Doctoral Network, a
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position focused on the development of 3D LPT techniques for industrial applications. Job description In this Postdoc position, you will focus on the development of large-scale three-dimensional Lagrangian