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of statistical experimental design and optimization methodologies. Computational Chemistry: Experience with molecular modelling methods such as Density Functional Theory (DFT), Molecular Mechanics (MM
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-facturing processes. In this internship, you will work on state-of-the-art anomaly detection methods using computer vision and time-series data, with a particular focus on multimodal data fusion for powder
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deployment by enabling quick data collection, calibration, and policy training while ensuring safety and efficiency. For this, we develop novel learning-based control and policy optimization techniques. We're
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. Empa is a research institution of the ETH Domain. Your tasks Optimizing vehicle aerodynamics to reduce transportation emissions, understanding airborne disease transmission, and predicting climate
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27 Feb 2026 Job Information Organisation/Company Paul Scherrer Institut Villigen Research Field Physics » Computational physics Researcher Profile Established Researcher (R3) Positions Postdoc
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includes the design and manufacturing of miniaturized platforms and their optimization for biochemical assays and analytical procedures. For a third-party funded project, running for four years, we
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includes the design and manufacturing of miniaturized platforms and their optimization for biochemical assays and analytical procedures. For a third-party funded project, running for four years, we
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Application Deadline 1 Apr 2026 - 23:59 (Europe/Zurich) Country Switzerland Type of Contract Temporary Job Status Full-time Hours Per Week 41.5 Is the job funded through the EU Research Framework Programme? Not
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, optimized for high-performance computing (HPC) environments Classifying ice crystal habits using Convolutional Neural Networks (CNNs) Providing intuitive graphical interfaces for user interaction and data
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assess the operational feasibility and robustness of urban energy system designs emerging from AI- and multifractal-informed planning approaches. The PhD will develop and apply optimization-based energy