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increasingly important, but also more complex, due to rising demands on performance, precision, quality, and sustainability. Bayesian optimization (BO) - a special machine learning approach - represents a
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, as part of the development, one position located in Görlitz as Research Associate / PhD student (f/m/x) Integration of CMOS detector technology into the Universal Bayesian Imaging Kit (UBIK) (subject
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and reduction Development and application of big data analytics for large X-ray data sets Application of Bayesian methods to X-ray data Combinatorial analysis of various data from complementary
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with the latest sensors (camera and LiDAR sensors), is available for the work. What you will do Development of algorithms for 3D multi-object tracking based on heterogeneous sensor data fusion (standard
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. the atmosphere when observing objects on the Earth’s surface from satellites or layers of tissue in biomedical imaging. For this reason, with the goal of bringing quantum-inspired imaging into real world
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control, state estimation, and path planning algorithms for single and multi-agent robotic systems (UAVs). develop and train AI models for practical applications such as real-time object detection and
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to enable safe navigation, using the event camera as the primary sensor. The approach leverages prior information such as object detection, optical flow, and depth, while also integrating multimodal inputs
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be inferred from models that are incomplete and data that involve errors. For such challenges, Bayesian analysis using Markov Chain Monte Carlo (MCMC) has become the gold standard. For addressing high
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environment with various objectives. You can expect a modern, well-equipped workplace in a central and convenient location in Munich. Granting equal opportunities is part of our personnel policy. TUM encourages
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of individual E. coli strains will be investigated. The objective is to characterize metabolic interactions between E. coli isolates in the gastrointestinal tract, utilizing, among other methods, larvae