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Field
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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
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relevant not only for the organizations developing, training, or optimizing AI models, but in particular for users of the software products that inform and impact the policies that will regulate the AI
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vertical devices, it’s crucial to ensure uniform current flow across the entire device area. Structural modifications like current spreaders, channel regrowth or optimized electrode designs help mitigate
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description of the breakdown mechanisms in order to propose an optimal design for increasing the blocking voltage of the studied devices. In addition, standard reliability tests (HTRB, HTGB) of the prepared
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conversion systems, for example in fast battery chargers for electromobility, renewable energy sources (solar, wind), as well as in the defence sector. This work will focus on the optimization of fabrication
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regarding initial design concepts. We will explore how AI systems can augment professionals’ creativity toward concurrent optimization of human health and energy efficiency. This PhD position will combine
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Generative AI applications continue to expand, optimizing computational efficiency is becoming increasingly critical, particularly for AI in resource-constrained environments or at the edge. To address