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of novel physics-guided AI algorithms for drug design, integrating physics-based modeling with state-of-the-art deep learning methods. The project will focus on creating a next-generation docking framework
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position (technician) will focus on performing Raman/FTIR on retrieved samples. The PhD position will focus on developing a deep-learning algorithm for analyzing the acquired experimental data.
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. The PhD position will focus on developing a deep-learning algorithm for analyzing the acquired experimental data. The PhD position will focus on development a comprehensive and AI-driven platform
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reinforcement learning for large language models (LLMs). Research directions include developing next-generation post-training algorithms, exploring diffusion-based approaches to reasoning with language models
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questions about the position, please contact us (stefanie.bailer@unibas.ch ). Application deadline is 15th December 2025. Interviews are scheduled for January 2026. Start date is 1st March 2026 (or to be
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not be considered. Start-up grantees must enroll as doctoral students at the University of Basel and automatically become members of the Doctoral Program in Literary Studies. Schedule Application
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not be considered. Start-up grantees must enroll as doctoral students at the University of Basel and automatically become members of the Doctoral Program in Literary Studies. Schedule Application