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- ETH Zürich
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Field
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paramagnetic resonance (EPR), or magnetic resonance imaging (MRI) Familiarity with analytical tools: X-ray diffraction (XRD), scanning electron microscopy (SEM), X-ray computed tomography (XRCT) Expertise in
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, geography, and artificial intelligence to develop coherent and resilient approaches for urban energy infrastructures under land-use constraints such as No Net Land Take. The consortium comprises four
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the experimental techniques employed, this PhD position will focus on (operando) X-ray absorption spectroscopy, X-ray total scattering, and vibrational spectroscopies Profile Applicants for this PhD position
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multifractal analysis, urban and energy planning, geography, and artificial intelligence to develop coherent and resilient approaches for urban energy infrastructures under land-use constraints such as No Net
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sensitive imaging and inference approaches to help guide diagnosis and treatment in cardiovascular patients. Project background Cardiovascular Magnetic Resonance (CMR) plays a central role in the non-invasive
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imaging techniques Experience with basic statistical approaches Motivation to work in an international research environment Motivation to learn systems biology approaches, high-throughput methodologies, and
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, and imaging approaches Integration into a vibrant international plant science community The opportunity to contribute to research with tangible societal impact in sustainable agriculture and food safety
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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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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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of single cell imaging data. Experience with programming language (e.g. Matlab, R or Python). Excellent communication skills. Any of the following will be a plus: Experience with mass spectrometry. Experience