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artificial intelligence by relating the practices and procedures of contemporary AI models, in particular LLMs and LMMs, to a broader historical context. Part of this research relates to the language of large
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challenges. Our core research topics include but not limited to the following topics: Interpretability and explainability of AI models in clinical settings Fairness and bias mitigation in pediatric AI
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4 Mar 2025 Job Information Organisation/Company University of Basel Research Field Environmental science » Earth science Environmental science » Ecology Environmental science » Other Researcher
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information, please visit our web page: https://dbe.unibas.ch/en/research/imaging-modelling-diagnosis/magnetic-resonance-physics-methodology/ We are looking for a PhD candidate to join our research team in
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of these other institutions and will be co-supervised by Prof. Gianalberto Losapio (University of Milan). Your profile The candidate must hold a MSc degree in Environmental Sciences, Biology, Ecology, Conservation
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science, microbial ecology, microbiology, or a related discipline. Experience with compound specific stable isotopes OR with environmental DNA is highly desirable, but not required. The ability to work both
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managing animal experiments, particularly rodent stroke models. Ensuring ethical and humane handling of laboratory animals according to Swiss regulations. Conducting biochemical assays and standardizing
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) is helpful You have excellent knowledge of core research methods and statistics and are willing to learn new skills and methods independently (e.g., Large Language Models, Bayesian Statistics) You can