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using learning-based algorithms Development of a simulation framework for stressor analysis and traffic equilibrium modeling Integration of predictive analytics and multi-agent reinforcement learning
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algorithms and AI-based solutions for data processing and validation, and provides scientific expertise for the implementation of future remote sensing missions. The team’s work bridges earth observation with
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areas like programming languages, algorithms, and theory. INSAIT is structured similarly to top U.S. and European research institutions and provides exceptional working conditions, in terms of facilities
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multiphysics simulation Develop multimodal decoupling algorithms Scalable O-skin fabrication and system integration onto robots and as wearables Realtime sensory mapping in complex environments Supervise master
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, Matlab, C++) for developing new simulation frameworks or image processing algorithms Experience in or willingness to learn independently operating additive manufacturing systems (DED and LPBF), including
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based on the extracted image data. Job description Develop and apply state-of-the-art algorithms for image segmentation, feature extraction, and quantitative analysis Combine classical image processing
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validate predictive algorithms for biomarker discovery Optimize data integration techniques for multi-omics and clinical datasets Perform trend analysis of bacteria-containing samples over time to observe
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. The project aims to investigate generative design algorithms to automate the design process of electromagnetic induction components by using AM technologies and combine it with advanced computational tools. A
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/ reference gas analysis and a software algorithm for data treatment. Collaborate with leading AMS laboratories to ensure comparability of on-line measurements with established low-frequency monitoring
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for monitoring people’s health. You will focus on developing new solutions, electronics, algorithms and methods to assist individuals, physicians and sports coaches to effortlessly and continuously monitor health