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Field
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influencing factors and improve the accuracy, robustness and energy efficiency of intelligent sensing systems. Apply AI as an engineering tool: Use signal processing, statistical methods and machine learning
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, cavitation will be investigated both experimentally and via computer simulation. This doctoral project is a joint initiative between the Fraunhofer ITWM »Grid-Free Methods« Department and the Department
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mobility services. Develop and estimate discrete choice models for transportation mode choice decisions. Implement and apply agent-based transport simulations to assess demand and modal-split changes under
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, computational modeling, computer vision, natural language processing, or related AI-based methods. Strong programming skills, preferably in Python. Experience working with complex, multimodal datasets and
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environments, approaches related questions in an interdisciplinary manner (i.e., at the intersection of psychology, technology, and human–computer interaction). We welcome candidates with a strong interest in
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reduction of wind-tunnel experiments by 87% between the late 1970’s and the late 1990’s, corresponding to a reduction of energy consumption which can be estimated as 8.7 107 kWh while reducing the fuel and
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fields such as computer vision and natural language processing, graph-structured data remain a rich frontier for methodological innovation, with many fundamental challenges and exciting opportunities ahead
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-directional collaboration in education and research. Ph.D. students will work in a highly interdisciplinary environment, combining AI/ML, edge computing, cognitive science, and human–computer interaction. In
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methods to identify outstanding candidates Analyzing candidate lists generated through nomination calls Implementing, maintaining and further developing candidate databases together with the two Scouting
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integration into the treatment process. At the same time, personalized medicine presents challenges. Data-driven methods from the fields of Artificial Intelligence and Analytics are regarded as key technologies