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(micro)-mechanical computing elements that use energy from ambient vibrations – without the need for power wires or batteries. These elements will rely on geometric nonlinearities to perform complex tasks
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MSc degree in Mechanical Engineering or Physics. Your MSc thesis is related to one or more of the following disciplines: fluid mechanics, combustion, acoustics. Ideally, you would be available for a
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drug screening platforms, with a focus on skin tissue models. We are embedded within the Tibbitt group, in the Macromolecular Engineering Laboratory at the Department of Mechanical and Process
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100%, Zurich, fixed-term The Rehabilitation Engineering Lab (RELab) at the Department of Health Sciences and Technology at ETH Zurich is an interdisciplinary group with competencies in mechanical
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with academic and industrial partners. Your profile You are highly motivated and dedicated with a master’s degree in electrical, mechanical, or industrial engineering. Programming, modelling, and data
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have a master's degree preferably in Mechanical Engineering. The position is coupled with the possibility of a PhD study at ETH Zurich. Qualified candidates should have the following capabilities
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be carried out in collaboration with groups in theoretical chemistry, computer science and applied mathematics. Job description As a PhD student in our growing team, you will perform quantum-chemical
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working on muscle technology, manipulation, control, and machine learning. The output of the PhD thesis will significantly contribute to the advancement of musculoskeletal robotics, particularly in
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100%, Zurich, fixed-term The Swiss Seismological Service (SED ) at the Department of Earth Sciences at ETH Zürich invites applications for a fully funded 4-year PhD position in Machine Learning
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are a highly motivated and dedicated candidate with an MSc degree in Energy, Mechanical, or Electrical engineering (or related field). You have an active interest in the on-going energy transition and