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. Measurement of optical properties of key optical components by devising ad-hoc measurements in the Optical and Optoelectronics Laboratory (OOEL); Optoelectronics: laser systems and sensors, LIDAR and laser
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for prediction, explainability, prediction under intervention, algorithmic fairness, transparent model validation, and post-deployment quality control. You will also lead the implementation of the Data Science
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as a tool to understand and support learning and innovation processes. Our research approach is process-oriented, using methods that range from intensive longitudinal studies with apps and sensors
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the AI algorithms state of the art for crater detection. generate an overview of available meta data in coordination with the game developers. identify potential use cases in the science community and
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-driven model for assessing the reliability of official network maps (KLIC deliveries). You will build a prototype algorithm that can be used by infrastructure and civil engineering professionals to better
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-board Payload Signal and Data Processing algorithms and techniques for RF payloads and instruments in close collaboration with TEC-ED; and Time and frequency references, modelling, design tools
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(addressing areas such as tribology/lubrication engineering, tribology free and compliant mechanisms, mechanical components including ball bearings & gears, position sensors, electric motors, new/alternative
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. Measurement of optical properties of key optical components by devising ad-hoc measurements in the Optical and Optoelectronics Laboratory (OOEL); Optoelectronics: laser systems and sensors, LIDAR and laser
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. Measurement of optical properties of key optical components by devising ad-hoc measurements in the Optical and Optoelectronics Laboratory (OOEL); Optoelectronics: laser systems and sensors, LIDAR and laser
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system-level grid-connected LDES models for grid support Research, design and development of control algorithms for optimal operation of grid-integrated LDES; Develop a co-simulation framework to analyse