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combining wave modelling, field observations, remote sensing, advanced mathematical methods and AI, the research will quantify spatial patterns of wave set-up, its statistical distributions and co-occurrence
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: MSc or equivalent in the field of aerospace engineering or similar Solid knowledge of Computer Science and Informatics (simulation, optimisation and modelling tools; surrogate modelling, statistics and
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clusters versus sparse stellar associations), assuming a variety of different delivery mechanisms (supernovae, stellar winds). We will use these yields to model the contribution of 26-Al and 60-Fe the long
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to weather patterns and extreme events. Despite their importance, critical controlling processes remain poorly understood, underscoring the urgent need to improve Earth system modeling. Significant
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attention to phenomena dependent on strain rate, temperature, thermal history, and microstructure; elasto-viscoplastic and micromechanical constitutive modeling, developed in academic and/or industrial
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experience in computational systems modeling, simulation, and analytics; OR Master's degree in computational biology, systems biology, bioinformatics, biological engineering, biophysics, or related field plus
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challenging for classical computing architectures. Some of your responsibilities will include: Design and develop mixed-signal circuits for implementing ONNs. Modeling, simulate and benchmark different
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analog circuits for implementing ONNs for computing. Modeling, simulate and benchmark different computing tasks such as sensor data processing. Explore ONN implementation topology and its energy efficiency
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for Extreme Environments The Materials Modeling Group (Prof. Malik Wagih), launching February 2026 in the Department of Materials at ETH Zurich, invites applications for PhD positions starting June 2026 or by
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cases as well as a corpus of existing simulated and real data to be used for validation purposes based on open-data. - Work on a composable architecture able of high-bandwidth I/O, large storage