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100%, Zurich, fixed-term The X-ray Imaging Professorship is dedicated to advancing the clinical application of gratings-based X-ray interferometry. This groundbreaking technology depends
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researchers in coding experiments and other projects. Successful candidates will have a basic understanding of the programming paradigm, will be able to debug code with little assistance, be a problem solver
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. Potential research topics include: Use of hyperspectral reflectance for evaluating leaf functional traits. Integration of hyperspectral imaging with genome-wide association studies (GWAS). Detection
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-particle imager, radiosondes, sonic anemometers, flight logbooks of drones and the tethered balloon system) and remote sensing platforms (e.g., cloud radars, ceilometer, microwave radiometer). Organizing and
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content imaging for experimental workflows in biology and biochemistry. Project background The SCF's centralized instrument pool is accompanied by expert service provided by staff who offer instrument
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-generation magnetic materials. The goal is to optimize them for technological applications, including renewable energy systems and medical magnetic resonance imaging. Project Overview You will investigate
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bioinformatics-related images for computational pipelines. Evaluate and procure compute resources for High-Performance Computing (HPC) platforms, managing access. Write automation scripts (e.g., Python
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, data science, and industrial applications. As part of this position, you will: Develop and implement advanced Machine Learning models to analyze large datasets, including image and time-series data
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. We have a co-working, ideation, and event space and offer coaching. In addition, we have a greatly equipped Makerspace that gives students access to the tools and equipment they need to prototype. We
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would explore novel solutions, which may include but are not limited to e-textiles for movement tracking, for ultrasound imaging, e-textile-based photoplethysmography (PPG) sensing or e-textile for multi