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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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in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
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one quarter of our staff are post-docs, post-graduates or apprentices. Altogether, PSI employs 2300 people. The project, conducted in collaboration with Novartis AG, aims at the rational design of
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and focused design to leverage their unique properties, with the knee as the example case. You will gain the necessary interdisciplinary skills demanded by industry and academia to deliver timely and
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poorly understood. This PhD project addresses that gap. Sitting at the intersection of clinical simulation, multimodal AI, and human factors research, the successful candidate will design high-fidelity ICU
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experiments, and design methods to evaluate soil health. The project will also explore translating Soil Living Labs outcomes into policy recommendations and conducting policy-relevant scenario analyses
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Law, CRCF). It will develop AI tools to map and predict soil health across space and time, accelerate literature reviews, extract best management practices from long-term experiments, and design methods
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techniques Advanced characterization methods, including synchrotron-based techniques, will be used to investigate materials under operating conditions and establish design principles for next-generation EOP
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strong interest in and commitment to animal experimentation is essential. Perform in vivo mouse studies using CRISPR-engineered cancer cell lines Design, perform, and analyse in vivo CRISPR pooled screens
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for trauma wound infections. Key objectives include: Design and synthesis of multifunctional antimicrobial and biocompatible hydrogels. Materials and physicochemical characterization of the fabricated