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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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systems. Empa collaborates with the Federal Office for Defence Procurement, armasuisse, to assess and optimize the energy supply security for a defence relevant site in Switzerland. A particular focus lies
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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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optimization is necessary for lower optical losses, increased component performance, and improved interfacing with optical fibers. The advertised position will work on two main projects: (1) TFLN circuit
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of hybrid AI-optimization modelling. This position focuses on the design of AI-based surrogates of large-scale energy system models and will be integrated in the activities of the Nexus-e group with close
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validation. Job description Characterization of powdered materials for ink formulation DIW process development for ceramic and TE materials, including parameters optimization and evaluation of resolution Setup
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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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recommendations for optimized shut-in procedures to minimize induced seismic hazard Publish results, present at conferences, and contribute to project reporting Profile MSc degree in Engineering Geology, Geophysics
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will require a high degree of innovativeness in binder research, including mastery of asphalt binder chemical and mechanical characterization, production process optimization while consid-ering
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Generate modelling approaches to predict optimal cereal-legume combinations Supervise and mentor students from BSc to PhD-level Assist in the delivery of lectures or seminars for the Crop Science group