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algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems
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conferences, and engaging in teaching activities. As a formal qualification, you must hold a PhD degree (or equivalent) in either electrochemistry, microbiology, fermentation, or environmental engineering, and
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, Anthropology, Political Science, or related fields), earned by the start date. Required Related Experience Demonstrated expertise in qualitative research methods (e.g., interviews, ethnography, case studies
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analytical methods across the EU. Responsibilities and qualifications You will be a central part of our laboratory operations, and your task will be focussed on supporting our EURL-PC responsibilities as
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· A scientific CV with contact details · List of publications (and patents, if applicable) · Contact details of 2 references Please apply ONLINE formally through the HR system
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of information processing), and formal epistemology (in particular, formal representations of inattentiveness and unawareness). This project will involve philosophical / linguistic analysis, experiments with human
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productively with both the CAISA research team and external organisations and institutions experience with mixed methods Furthermore, it will be considered an advantage if applicants can document: experience
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explores novel aggregation methods at the intersection of AI safety, computational social choice, and judgment aggregation, aiming to formally integrate multi-stakeholder preferences into AI system design
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· A scientific CV with contact details · List of publications (and patents, if applicable) · Contact details of 2 references Please apply ONLINE formally through the HR system