62 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" scholarships in Switzerland
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Baumann (fabian.baumann@unibas.ch ). You can also find out more about us at https://dg.philhist.unibas.ch/de/ . Where to apply Website https://academicpositions.com/ad/university-of-basel/2026/phd-position
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-structure interactions of flapping flags (Bio-inspired) unsteady vortex formation and interaction More information about the lab and the ongoing and past projects can be found here: https://www.epfl.ch/labs
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predict protein-protein complementarity, design artificial protein binders, investigate the effects of mutations on protein structure and function, and apply protein representation learning to uncover
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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library. Strong interest in machine learning, reinforcement learning, and fluid dynamics. Ability to work independently and collaboratively in an interdisciplinary team. Excellent command of English, both
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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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, statistical physics and quantum solid state physics is absolutely essential. Good computer skills are a plus. For further information see our group web page www.neutron.ethz.ch/. Applications should contain a
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topics. You collaborate on research and pedagogical projects and assist in academic administration to some degree. You will teach two hours per week (during the semester).
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interdisciplinary team including computer scientists, experimentalists and clinicians. ■ You will be involved in cross-disciplinary collaborations and have training opportunities to further develop and grow your