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Field
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achieving Net Zero by 2050. In partnership with Plant Health at Defra (Department for Environment, Food & Rural Affairs), this project introduces a novel AI-driven framework to protect the nation’s plant life
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industries: in-car systems, medical devices, phones, sensor networks, condition monitoring systems, high-performance compute, and high-frequency trading. This CDT develops researchers with expertise across
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-Curie Doctoral Network “SPACER“. It will be carried out by one doctoral candidate at the University of Stuttgart, Institute of Smart Sensors (IIS), with PhD supervision by Prof. Jens Anders and co
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors
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a big plus: Relevant publications (and/or M.Sc. thesis) on the above-mentioned research topics Programming Microcontrollers and Interfacing Sensors Machine Learning Algorithms and Deep Neural Networks
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workflows between field acquisition teams, data center staff, and research collaborators to ensure seamless data transfer and integration. -Support daily operations of servers, networks, storage, and cloud
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electrical power, enabling smart sensors to operate without batteries. You will explore novel capacitor-based rectifier architectures, adaptive impedance-matching algorithms, and on-chip protection mechanisms
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-physical system Sensor fusion, perception and big data Cybersecurity, automotive networking Simulations, verifications and validations of autonomous vehicles Human-machine interfaces and interactions Self
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sensors and vision systems Life sciences Low cost and low power radar sensing systems Photovoltaics Power to Molecules Sensor solutions for Internet of Things Silicon photonics Solid state batteries System
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quantification of carbon allocation in plant root networks (Link: www.fz-juelich.de/de/ibg/daten-ki/casa-sdl-dbe/vicar ) Further details on each project can be found on our website: www.fz-juelich.de/ibg/daten-ki