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We invite applications for a PhD position in computer-aided drug design at the Computational Pharmacy Group, Department of Pharmaceutical Sciences, University of Basel. This position is part of
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of Basel on the topic of 'Promptology/Prompting with AI models' Research project 'Assisted Thinking. A Deep History of Scholarly AI' Description The Department of Media Studies at the University of Basel
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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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, and to changes in the composition of organic matter input from plants. To improve our process-based understanding of how carbon cycling will change in the soils of central European forests under drought
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on the fundamentals of magnetic resonance physics, as well as on the development of dedicated MR methods and data post-processing methods for applications in biophysical, biochemical, and clinical sciences. For further
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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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of hit and lead compounds through structure-activity relationship (SAR) studies to support a preclinical validation processes. Work in a multi-disciplinary environment collaborating with experts in
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your education/training (e.g., take courses on research methods and didactics) Take responsibility for various organizational processes within the Center for Social Psychology, including communication
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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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selective transport processes and how this functionality can be leveraged in the design of bio-inspired artificial nanopores. In this project, we want to apply high-speed atomic force microscopy (HS-AFM), and