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multiple M. abscessus genetic backgrounds and infection-relevant conditions, using viability-based selection strategies to quantify bacterial killing at scale. You will integrate these results with genomic
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report generation (e.g., real-time evidence summaries)? How to ensure traceability and explainability in AI-generated medical documentation? Collaborate with clinicians and domain experts to align
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integrate large language models, multilingual AI, and confidential HPC to support patients and clinicians in real-world healthcare environments. You will lead research on trustworthy and aligned LLMs
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role of drug transporters and drug-metabolizing enzymes in these processes. Both transporters and enzymes are influenced by multiple factors, including naturally occurring genetic variants, which
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of neuroimmunological diseases, with a particular focus on multiple sclerosis and MOG-antibody associated disease (MOGAD). We study how immune cells including B cells and gut microbiome contribute to the initiation and
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environment and contribute to multiple aspects of the project, including molecular design, materials preparation and characterisation, and the development of microscopy methodologies. Requirements: Applicants
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, and scalability Collaborating closely with psychologists, physiologists, and other heat domain experts to ensure that models align with theoretical constructs and applications Leading and co-authoring
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includes multiple labs at ETH Zurich and research partners at Inspire AG, as well as industrialization partners. The main focus of this position will be to develop materials and methods for directly