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methodological approaches Proficient in, or willing to learn, programming languages (e.g. MATLAB, Python, R) Experience with one or more of the following is an asset: LCA tools, computational design, structural
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responses, and institutional implications. Core responsibilities include: Studying judicial decision-making and legal reasoning in the presence of AI tools Contributing to the development of experimental
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applications Improving model architectures, prompting strategies, and retrieval systems for high-stakes environments Conducting pilot evaluations with judicial partners to study how AI tools perform in real
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components such as antibiotic resistance genes and metal resistance genes highlight the evolving risks due to bioaerosols. Metagenomics, bioinformatics, air quality simulation models, and source tracking tools
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sessions with ICU clinicians across Switzerland, managing data collection, participant coordination, and protocol adherence Preprocess, annotate, and manage a rich multimodal dataset, applying both