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Groningen as a PhD student. Your tasks Develop a bird inspired algorithm and robot capable of magnetic navigation like a bird using the guidance, navigation and control framework as a robotics basis. Develop
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) to develop accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models
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optimisation, algorithm design and high-performance computing, with application to airport innovation. Successful candidates will join an active group of Principal Investigators and researchers to work within
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. The position will focus on developing computational algorithms and tools for the analysis of mass spectrometry-based proteomics data. Research projects will center on advancing the FragPipe computational
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, methodology, analytical techniques, analytical results and insights for stakeholders. Develop visualisations and presentations for dissemination of analytical results and derivation of actionable insight
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Odometry (LIO), Visual-Inertial Odometry (VIO), and multi-sensor fusion for UAVs and other agile platforms. The Research Fellow will develop high-performance, robust estimation algorithms that operate
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UKRI rate). Overview This PhD aims to improve risk assessment and mitigation of high-impact and damaging weather events by developing catastrophe model methods, and adjustment factors to address current
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computing, edge computing, service computing, and distributed storage systems. Design and develop novel algorithms and system frameworks for cost optimization, latency reduction, auto-tiering, caching, and
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with the Principal Investigator (PI) on the project on Long-Wave Infrared (LWIR) Imaging for Autonomous Navigation. The position focuses on developing robust perception, state estimation, and odometry
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The Competence Center of Autonomous Digitalization Technologies at Fraunhofer IGD develops and automates 3D scanning technologies for fully automated reconstruction of cultural heritage and