141 quantum-physics-"https:"-"https:"-"https:"-"Embry-Riddle-Aeronautical-University" positions in Switzerland
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scale description of interfaces with an application to nucleation phenomena. The MET group at ETH Zurich, led by Philipp Rehner, is dedicated to linking rigorous physical molecular models to the design of
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of this programme. The profile PhD in computer vision, computational biology, physics or a related discipline Demonstrated expertise in image analysis and working with large-scale imaging datasets Strong expertise in
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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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intelligent materials. Our work explores new paradigms for monitoring infrastructure through physics-based modeling, sensing systems, and data-driven approaches. The advertised position is part of a research
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activities Prepare technical documentation, reports, and scientific publications Contribute to mission studies and proposal activities Profile MSc or PhD in Optical Engineering, Physics, Astronomy, or a
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: Which ML concept is the most promising in developing a GridFM? In particular, the thesis aims to investigate: R1.1 Can physics-informed learning play a role in building GridFM? R1.2 Can we exploit neural
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a PhD thesis at ETHZ Your profile We are looking for a highly motivated, committed, and talented candidate. The successful candidate should hold an MSc (or equivalent) in chemistry, physics
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100%, Zurich, fixed-term The Atmospheric Physics group at the Institute for Atmospheric and Climate Science (IAC), ETH Zurich invites applications for a PhD position (3-4 years) investigating
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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
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range of topics related to imaging with geophysical data. Our research focuses on mathematical methods for processing, imaging, and inversion of geophysical data, the physics of wave propagation, and the