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the ability to harness and optimize massive computational resources. However, this rapid growth in computational demands comes with a critical challenge: energy limitations. Around the globe, new power plants
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, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted to complex 3D underground geometries. The research will be conducted in close
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, Computer Science, Applied Mathematics, or a field focused on the intersection of Machine Learning and Optimization Proven expertise in surrogate modelling, specifically in designing neural architectures
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GNSS-based research within our group and support existing projects related to GNSS and PNT. Key responsibilities include: Software Development: Developing GNSS software using Factor Graph Optimization
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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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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