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work with rich datasets, advanced analytical tools, high-performance computing infrastructure, cutting-edge photonic sources, and modern industrial machinery. In this position, you will contribute
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flow reconstruction, enabling both real-time coarse diagnostics and high-fidelity offline velocity field estimation. Developing reinforcement learning (RL) algorithms for a multi-agent robotics system
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, investigations and optimization of hydrogen production via methane pyrolysis for decarbonization of industrial high-temperature processes with potential for negative carbon emissions. Your tasks Setup
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. Empa is a research institution of the ETH Domain. The goal of our Concrete & Asphalt Laboratory is to make cementitious and bituminous materials more sustainable and high-performing through both
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in X-ray imaging and microscopy techniques is a big plus. Experienced in project management and writing scientific publications. Fluent in English, German would be a plus, enjoying a multicultural
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collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance
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to support a circular bioeconomy. We are seeking a highly motivated postdoctoral researcher to develop and apply machine‑learning and data‑science methods, with a focus on computer vision, to enhance wood
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
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and are motivated to publish high-impact results Fluency in English; German is an asset. Our offer We offer an international, highly stimulating research environment with excellent infrastructure
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-based materials and an application in agriculture, health and textiles, in order to identify application fields with high environmental sustainability potentials. This PhD position is part of the project