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Field
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Applied Physics, Electrical Engineering or a closely related field. Demonstrable skills in numerical modeling, simulation, and data analysis. A solid understanding of Physics, Optics, Electron Optics, MEMS
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, as well as bioinformatics and the analysis of large datasets. Additionally, the PhD student will be part of the Swiss-wide NCCR AntiResist consortium, with lots of opportunities for scientific exchange
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
-supervised by Quentin Peyron (export in continuum and soft robotics modeling, design and singularity analysis), and Sebastien Briot (expert in parallel rigid and continuum robotics modeling and singularity
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with a background in fluid mechanics or thermal engineering. Given the scope of the research project, a strong interest in both experimental work and numerical modeling is essential. Familiarity with
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study. The research will begin with the analysis of baseline and historical data collected from wayside sensors installed on selected instrumented railway bridges. Building on these insights, an on-board
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dynamical systems methods and data-driven analysis is a plus We offer Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes
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, while determining the drivers of these changes from the oceanographic data, as well as satellite and reanalysis products. Training You will develop skills in chemical analysis, data processing
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of railway tracks on bridges, using Dutch railway infrastructure as a primary case study. The research will begin with the analysis of baseline and historical data collected from wayside sensors installed
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CAD tools (e.g., Keysight ADS, NI/Cadence AWR Microwave Office, or equivalent) is valued as its familiarity with programming and numerical analysis tools (e.g., MATLAB) for data processing and
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-temporal detail. The work will involve experimental implementation, optical setup development, numerical data analysis, and modeling. Requirements: Applicants must hold a Master’s or Diploma degree in