163 computational-physics "https:" "https:" "https:" "https:" "U.S" positions at ETH Zurich
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apply bioinformatics and statistical genomics approaches to characterize trait-associated sequence variation. We offer two PhD positions at the interface of computational and statistical genomics, and
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100%, Basel, fixed-term The Computational Evolution Group, led by Prof. Dr. Tanja Stadler, in the Department of Biosystems Science and Engineering (D-BSSE) at ETH Zürich works at the interface
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detailed information on our website at dhangleiter.eu . Profile We strongly encourage you to submit an application if you have an academic background in computer science, mathematics, or physics, if you are
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the entropic elasticity of the eDNA network, a mechanism well described in polymer physics but largely unexplored in living biofilms. This could enable both short- and long-term adaptation to flow fluctuations
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meta-optics have led to an advanced control over light-matter interaction, greatly contributing to different research directions including imaging, nonlinear optics, biosensing and photonic computing
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100%, Zurich, fixed-term Human–Computer Interaction in Architecture and Digital Fabrication This fully funded, full-time PhD position spans four years and is embedded within the interdisciplinary
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We look forward to receiving your online application (English, PDF format), including: Motivation letter (max. 1 page) outlining your qualifications and motivation for this project. Research proposal (max. 3 pages) on "Future of food processing for affordable, nutritious and more sustainable...
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The Mobile Robotics Lab (MRL) at ETH Zürich pushes the limits of robot intelligence. We want to build robots that can safely explore, navigate, and interact with their environments—specifically, how learned perception can drive action in a closed loop and how we can leverage foundation models...
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. As part of your role, you will: Take technical ownership of spacecraft avionics subsystems, acting as the primary technical authority for onboard computing and data handling within the assigned project
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deposition process parameters govern film architecture (e.g., thickness, porosity, roughness, grain/particle connectivity, interfaces, adhesion, and pattern fidelity) and how this architecture ultimately