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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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position / internship in the field of dependable person detection. Your task is to investigate, how reliably different object detection algorithms can recognize and locate persons. This will include 3D
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. Combined with previous works in dynamic object detection and removal, an automated pipeline for creating such maps will be developed, which we expect to be of great benefit to real-time localization in
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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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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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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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scalable system that supports cutting-edge biomedical research. Key Responsibilities: Define and maintain the overall system architecture, ensuring alignment with project objectives and interoperability
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traditional and new ocean modelling approaches with the final objective of delivering: (i) coordinated and harmonized multi-model datasets of high-resolution decadal and multi-decadal scenario simulations