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offers a unique interdisciplinary training environment bridging experimental mass spectrometry-based proteomics and AI-driven protein structure modeling. The student will have access to existing large
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researchers investigating different aspects of multiple sclerosis (MS) pathogenesis. This position offers a unique opportunity to contribute to interactive, clinically driven research by combining a deep
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Are you interested in developing mathematically grounded methods for uncertainty quantification in deep learning, particularly for large language models in healthcare applications? Are you looking
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to develop and utilize innovative, interpretable data-driven analysis methods to significantly advance our understanding of immune cell inter-relations within the cancer microenvironment. We will apply
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data-driven diagnostics. About the project Cancer treatment often involves surgery, chemotherapy, and radiotherapy. While these treatments have improved outcomes, they can be long-lasting and cause
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, audio, and sensor data. These AI models move beyond conventional predictive and purely data-driven approaches by seeking to capture the underlying causal, spatial, temporal, and semantic relationships
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energy system is undergoing a fundamental transformation driven by the rapid integration of renewable energy, electric vehicles and large-scale AI data centers. Power electronic converters play a pivotal
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nutrient cycles and producing renewable energy and nutrient-rich biofertilizers. Biogas production also contributes to increased preparedness and self-sufficiency. The biogas process is driven by complex
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to the development of next-generation approaches for marine environmental assessment and sustainability, working at the interface of environmental systems science, marine technology, and data-driven research within