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or similar tools) Initial experience with machine learning, clustering methods or generative AI (preferred but not required) Willingness and ability to collaborate with researchers from different backgrounds
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velocity changes at selected locations with the introduction of unsupervised machine learning and study the interaction of mass balance changes (crustal stress changes) and geohazards such as rain-induced
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implementation of machine learning. PhD student position in the field of durability of wooden structures Your tasks Your tasks will focus on the design and operation of experiments to investigate the failure
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Doctoral (PhD) Student Positions in Control and Optimization for 3D Printing The Automatic Control Laboratory (IfA) in the Department of Information Technology and Electrical Engineering of ETH Zurich is a
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100%, Zurich, fixed-term The Computational Mechanics of Building Materials in the Institute for Building Materials at ETH Zurich has an opening for a PhD student in modeling fracture in soft
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with machine learning, clustering methods or generative AI (preferred but not required) Willingness and ability to collaborate with researchers from different backgrounds, stakeholders and the general
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such as autonomous cars and robots. Job description We have multiple open PhD positions at AVI@PRS and we are looking for motivated candidates with a strong background in computer vision, machine learning
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machine learning The ability to work both independently and as part of a team Outstanding MSc degree in Engineering, Control, Computer Science, Physics, Applied Mathematics, or a related field
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Process Engineering of ETH Zurich is seeking one doctoral student. The position is associated to a project on phase-field modeling of fracture in concrete. The specific goals of the PhD project will be
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Moisture Transport in Carbonated Cementitious Materials We are offering a fully-funded position for a motivated and talented PhD candidate to join the Durability of Engineering Materials research group