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existing AI models that use camera images to make statements about the current process status. You will develop a deep learning model that combines data from cameras and sensors to capture multispectral
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the visible into the hyperspectral domain. What you will do Initially, you will dive deeper into the field of hyperspectral imaging and get to know an existing hyperspectral camera and its output data structure
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combined with soil sensors systems and UAVs with multispectral cameras. Your tasks in detail: Development and application of high resolution time-lapse GPR and EMI imaging methods at multiple scales
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tweezer, fluorescence life time imaging as well as light and atomic force microscopy among others. This project will help to build a novel approach to the generation of active surfaces and help
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information visit the Guidelines on Ex-post Evaluation (PDF). Programme timeframe Icon Applicants Applicants Icon Foundation Foundation Icon Notification Notification Scout selection procedure Active scouting
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" "Mathematics for vehicle development" "System analysis, prognosis and control" "Transport processes" "Image Processing" "High Performance Computing" "Financial Mathematics" "Materials characterization and
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of LLMs for trainings Develop and evaluate a prototype that uses LLMs to create dynamic software security micro trainings What you bring to the table You are studying Computer Science or a comparable course
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evaluate a prototype that applies usable security principles and artificial intelligence to prioritize the vulnerabilities detected by SAST tools What you bring to the table You are studying Computer Science
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hydrogen storage to maximize energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research
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Heating Technology «, we design and construct various prototype machines for laser-based and laser-assisted processes. Within the scope of your thesis, you will develop the laser-assisted heating processes