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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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Zurich, the University of Zurich, Balgrist University Hospital, the EPFL Lausanne, the University of Lausanne, the University of Geneva, Uppsala University in Sweden, and the Ben-Gurion University in Beer
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Science Campus in Basel. Additional research groups are located at the ETH Zurich, the University of Zurich, Balgrist University Hospital, the EPFL Lausanne, the University of Lausanne, the University
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, the University of Zurich, Balgrist University Hospital, the EPFL Lausanne, the University of Lausanne, the University of Geneva, Uppsala University in Sweden, and the Ben-Gurion University in Beer-Sheva, Israel
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Zurich, the University of Zurich, Balgrist University Hospital, the EPFL Lausanne, the University of Lausanne, the University of Geneva, Uppsala University in Sweden, and the Ben-Gurion University in Beer
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Zurich, the University of Zurich, Balgrist University Hospital, the EPFL Lausanne, the University of Lausanne, the University of Geneva, Uppsala University in Sweden, and the Ben-Gurion University in Beer
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) Experience in deep learning algorithms is a plus Ability to work in a highly international team and interdisciplinary project applicants are expected to have excellent language skills in English Opportunity
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the theoretical and algorithmic foundations of AI. A strong commitment to excellence in undergraduate and graduate teaching and mentorship is essential. Preference will be given to candidates who show promise in
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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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position (technician, this position) 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.