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Field
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Operations Research and Operations Management, such as network theory, combinatorial optimization, and econometrics. The project pursues three interrelated aims: first, to characterize how network structure
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, sustainable multi-salt electrolyte formulations will be developed and optimized for compatibility with hard carbon anodes, with the aim of enabling safe operation, fast charging, and long cycle life. We offer
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genetics to predict breast cancer risk and tumour aggressiveness in BRCA variant carriers Digital biomarkers for enhanced AI-guided therapy in heart failure (D-BEAT) Experimental models for optimizing
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with the physical principles of structural dynamics and (vibro-)acoustics and the related numerical modeling techniques, such as the Finite Element Method (FEM), as well as numerical optimization
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processes [Progress in Retinal and Eye Research 93, 101170 (2023); The Journal of Clinical Investigation 132 (2), e154218 (2022)]. The research and development tasks include the design and optimization
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environment. Key research Objectives: AI Innovation (Taxonomic Identification): Developing and optimizing deep-learning architectures (e.g., YOLO) for the automated detection and classification of nocturnal
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algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical
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potentially integrated route to generate coherent THz radiation, while offering clear knobs—optical power per line, coherence, stability, and spectral bandwidth—to optimize the resulting THz performance
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-linear optimization techniques, projective geometry, as well as multi-view geometry, enabling you to develop and analyse methods for camera calibration, sensor registration, pose estimation, and 3D
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samples To compare the response of inflammation biomarkers between the treatment (e.g. vitamin C) and placebo groups for identification of treatment responders To investigate optimal timing of micronutrient