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20.05.2025, Wissenschaftliches Personal The Professorship of Digital Fabrication , led by Prof. Dr. Kathrin Dörfler, is dedicated to pioneering digital fabrication techniques in architecture. Join
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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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will work in a group with other students and take on specific tasks. The aim is to analyse the robot's capabilities and to implement algorithms that enable the robot to be used sensibly in applications
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will work in a group with other students and take on specific tasks. The aim is to analyse the robot's capabilities and to implement algorithms that enable the robot to be used sensibly in applications
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phenomena affect electrocatalytic transformations. Duration: 3-4 years (full time); 67% TV-L E13 Prof. Hülsey is seeking candidates with: - An excellent academic track record - A master’s degree OR a four
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3D software using machine learning tools such as neural networks. You will perform quantitative analyses on existing large amounts of tomographic imaging data and improve the evaluation algorithms in
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energy use more efficient. We develop new optimization methods, machine learning algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity
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analysis tools Implementing continuous benchmarking of the library Optimization of the library algorithms and underlying data models for speed and memory efficiency Maintenance and improvement
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, but also in traffic monitoring or in the media context, for example when it comes to automatic metadata extraction and audio manipulation detection. Another focus is the development of algorithms
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, but also in traffic monitoring or in the media context, for example when it comes to automatic metadata extraction and audio manipulation detection. Another focus is the development of algorithms