22 image-processing-"Embry-Riddle-Aeronautical-University" positions at Empa in Switzerland
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. Empa is a research institution of the ETH Domain. For an applied research project, we are seeking a highly motivated Postdoc interested in the development of a hybrid AM manufacturing process for silicon
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of measurement systems, signal processing and analysis and the assessment of measurement accuracy, robustness and long-term stability. The resulting data form the basis for model-based approaches to evaluating
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-related transport phenomena all require precise knowledge of fluid flow dynamics. Advanced experimental methods such as Particle Image Velocimetry (PIV) and 3D Lagrangian Particle Tracking (LPT) provide
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, with a clear link to X-ray based analytical methods, especially to X-ray diffraction and if possible, X-ray imaging. We expect the candidate's enthusiasm for interdisciplinary work related to Space
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diffraction and if possible, X-ray imaging. We expect the candidate's enthusiasm for interdisciplinary work related to Space sciences. The working place will be Dübendorf / Zurich. Postdoc in "Development and
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key contributions to novel personalized strategies of particles design for drug delivery, imaging, or diagnosis. Characterize, understand, the interaction of particulate materials with cells or tissues
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delivery, imaging, or diagnosis. Characterize, understand, the interaction of particulate materials with cells or tissues. Pioneered investigations on particle bio-functionalization, particles uptake
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. Empa is a research institution of the ETH Domain. To strengthen our team and enhance our knowledge and understanding in pyrolysis processes we are looking for a PhD student for scientific analysis
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for fiber processing, polymer analysis, and electrochemical testing. You will be working at Empa in St. Gallen. The starting date is as soon as possible or upon mutual agreement, and the employment contract
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore