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a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials
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outside academia. The tasks include extensive use of optical diagnostics, such as: Near and far field high-speed microscopic imaging Chemiluminescence-based techniques Schlieren imaging and shadowgraphy
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with programming in Python is a requirement Experience with telecentric particle imagers, image analysis, and machine learning for particle recognition is an advantage Experience of working with wave
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systems for use in breaking waves, both in the field and in the lab Contribute to analysis of images, and development of the open-source analysis software PyOPIA (https://github.com/SINTEF/pyopia
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mechanisms in order to provide fundamental insights into endothelial ageing and pave the way for interventions that target microvascular health to promote healthy ageing. Advanced microscopy and imaging
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rocket or space experiments cosmochemistry. Background on the physics of cosmic dust, meteor studies, ionospheric studies, in situ measurements, meteorite studies, cloud physics, microscopy, advanced image