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iterative validation. The project combines the generalization capabilities of large language models with symbolic constraints and formal verification backends to ensure generated properties are auditable
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systems or in vivo model organisms (essential). Strong analytical and computational skills for large-scale, multimodal dataset analysis (essential). Excellent written and communication skills, with fluency
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in socio-ecological research and combining qualitative and quantitative methods. You are fluent in at least one Swiss national language and English, both written and spoken, and have successfully
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Publish scientific articles in international peer-reviewed journals Actively participate in national and international conferences Implement measures for science communication Acquire third-party funding
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Good communication (in English) and teamwork skills We are also looking for all or a subset of the following additional qualifications: A solid background in chemistry and spectrometric analyses
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on the Sisslerfeld Living Lab as a testbed for innovative mobility and energy solutions, the project couples sufficiency thinking with renewable energy community planning, developing methodological innovations
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: Project A – Synthetic Data for Theory-Driven Behavioral Research This project investigates how large language models (LLMs) produce synthetic responses to psychological experiments and how these compare
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., patch-clamp or MEA recordings) Track record of scientific productivity (publications in peer-reviewed journals) Excellent communication skills and fluency in English Advantageous: Experience with cancer
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; excellent communication skills in interdisciplinary environments. Desirable qualifications Interest/experience in advanced activation/fragmentation concepts for structural elucidation (e.g., electron/photon
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mates; help with administrative tasks, conference organization, communication tasks. You will be encouraged to: take on a co-mentoring role for the project's two doctoral students; teach one or two