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achieve a high degree of geometric accuracy, and on the other hand to reduce defects and ensure a consistent microstructure. What you will do Implementation of sensor-based process control on an LPBF system
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 8 days ago
-time employment. Starting date: 01.10.2024 Job description:PhD Student (f/m/d) Real-time identification of flow states in the DRESDYN precession experiment using distributed ultrasound sensors With
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Future. Discover. Together. In the "Fibre Optic Sensor Systems" department of the Fraunhofer Heinrich Hertz Institute (Goslar branch), the focus is on application-oriented research and development
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what you can bring to the team? What you will do These duties await you ... In your master thesis, you develop a methodology to merge the measurement data from multiple sensors or multiple types
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Fraunhofer EMFT conducts cutting-edge applied research on sensors and actuators for people and the environment. The about 150 employees in the three locations in Munich, Oberpfaffenhofen and
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systems a Network of Doctoral Students” (ISLANDS). The Role: The DC will study sensor data fusion techniques in automotive applications and will develop ISAC mechanisms. The project will target evaluation
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Deutsches Zentrum für Luft - und Raumfahrt (DLR) | Bremerhaven, Bremen | Germany | about 2 months ago
awareness concepts, with a strong focus on machine learning technologies to enable operators to handle large amounts of incoming sensor data. Join our interdisciplinary research team and develop next
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achieve a high degree of geometric accuracy, and on the other hand to reduce defects and ensure a consistent microstructure. What you will do Implementation of sensor-based process control on an LPBF system
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including hardware-related operating software. For the publicly funded joint project "RadarRescue", we work together with interdisciplinary project partners on an airborne sensor unit for detecting people in
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06.02.2024, Wissenschaftliches Personal Are you passionate about machine-learning based systems for traffic environment perception? Do the challenges of precision, time-criticality, resource, and energy demand of AI based solutions excite you? Do you want to set the tone for future mobility...