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, implement, and optimize the user interface for an energy data platform, ensuring high performance and usability across devices. Data visualization and dashboards – Develop interactive visual representations
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design approach for adapting and strengthening steel sections for reuse with WAAM, considering optimizations of material consumption, structural efficiency, and production constraints; Designing
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-generation magnetic materials. The goal is to optimize them for technological applications, including renewable energy systems and medical magnetic resonance imaging. Project Overview You will investigate
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provided Carry out instrument calibration and routine maintenance of lab automation equipment Work collaboratively in an interdisciplinary research environment, assisting scientists in optimizing screening
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and deployment of research software for data processing and interactive seismological visualisations, optimize data storage and distribution, and ensure system reliability through advanced monitoring
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, interactive content, and technology-driven teaching approaches. Provide hands-on support to faculty members—including new and external lecturers—by optimizing existing courses and developing new ones, ensuring
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validate predictive algorithms for biomarker discovery Optimize data integration techniques for multi-omics and clinical datasets Perform trend analysis of bacteria-containing samples over time to observe
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Zürich (pd|z) at ETH Zurich a position in the field of design for additive manufacturing Project background Additive manufacturing (AM) offers unique advantages to optimally combine economic and
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position focused on light-driven CO2 capture. Job description Our group is actively developing a novel photoacid-based approach for efficient CO2 capture, optimizing both the local chemical environment in
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and safety practices. Additionally, the project proposes a novel control regime to optimize train trajectories, allowing faster speeds, later braking, and closer spacing, while maintaining safety