10 image-processing-"Embry-Riddle-Aeronautical-University" PhD positions at ETH Zürich
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Biomedical engineering Physics or Applied mathematics You present with expertise in advanced signal and data processing and its applications to cutting-edge imaging. Developing programming skills (Python, C
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transport experiments inside as well as a laser laboratory with Particle Image Velocimetry (PIV) and Laser-Induced Fluorescence (LIF) experiment capabilities. We are also in the process of expanding
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to imaging with geophysical data. Our research focuses on mathematical methods for processing, imaging, and inversion of geophysical data, the physics of wave propagation, and the development of innovative
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actuation for soft continuum robots Sensing and tracking of minimally invasive robotic systems Autonomous control in uncertain anatomical environments Computer vision for image-guided robotic procedures (incl
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Curriculum vitae (no picture) Academic writing sample (e.g., Master thesis or term paper) Complete academic record with undergraduate and graduate courses and grades Copies of certificates Contact information
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Zurich translates the science of materials processing into societally impactful technologies through student entrepreneurship and interdisciplinary collaboration. For this research project in partnership
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models to the design of sustainable processes in chemical engineering. To bridge the scale from molecules to processes, we apply state-of-the art mathematical concepts and tools combined with highly
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joining the team? ETH Zürich is one of Europe’s foremost technical universities, located in the heart of Switzerland. The PhD candidate will be positioned at the Department of Mechanical and Process
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) Separations. Job description Within a broader research program that integrates process modelling, computational materials screening and discovery, experimental synthesis, and mechanistic and performance
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engineering and digital design: Enabling high-performance timber plate structures through simplified connections and planning processes”. The project is a collaboration between Gramazio Kohler Research (Chair