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state transfer, distributed quantum computing and quantum error correction, blind quantum computing, and non-local sensing. To ensure this project's success and fast progress, we are looking for
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partners Development of advanced optical instrumentation and experimental methodologies Data analysis and numerical modelling Close collaboration with researchers from the participating ETH research
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closely related field Strong interest in accelerator physics, electron sources and experimental work; experience with beam dynamics, lasers/optics, numerical modelling or scientific programming is an
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., QGIS) Experience with hazard and risk management concepts Prior experience with physics-based numerical modeling Familiarity with a scripting language (e.g., Python or Matlab) Outdoor or
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will be conducted in parallel with a sister study in the Canadian Rocky Mountains (a similar position is being advertised at McGill University – see here , Students are welcome to apply to both if they
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Drucken The Energy and Process Systems Engineering (EPSE) Group at ETH Zürich is looking for a doctoral student to work on the new generation of prediction methods for the complex fluids and
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simulation pipelines for generating annotated RGB-D data 3D semantic perception: Development of learning-based methods for object detection, segmentation, and scene understanding using RGB-D sensor
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development of uncertainty-aware methods and optimisation tools for robust railway intervention planning and resource forecasting. The position is connected to the interdisciplinary ETH Mobility
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doctoral student to study operational decision making with data science. This position focuses on the development of experimental and causal methods for efficient and robust evaluation of new product
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100% PhD position in the development and application of nonlinear dynamical systems methods for complex physical problems known only from data. The objective is to provide efficient, theoretically