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solutions provide advantages? The candidate is expected to take initiative to narrow the research scope toward concrete applications. Prototype information models and demonstrators are expected to be
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the organization and description of data and metadata from experimental functional neuroscience (electrophysiology and two-photon imaging) Contributing to extending and refining the openMINDS metadata models (https
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Torbein Kvil Gamst 1st February 2026 Languages English English English Faculty of Science and Technology PhD Fellow in AI for Satellite Image Analysis Apply for this job See advertisement
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the thermoacoustic stability of the system. The project will involve conducting a series of laboratory experiments using state-of-the-art measurement methods such as high-speed imaging, and acoustic measurements using
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of General Relativity on cosmological scales. The data it will collect will consist of locations of tens of millions of galaxies with accurate spectroscopic redshifts together with billions of images
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for optimally deploying wind-sail propulsion according to weather conditions The project will develop, prototype, and evaluate visual and interaction concepts that make AI advice actionable
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regulatory regions of heat stress memory genes, and the candidate will apply both wet lab molecular biology, genome editing, trait phenotyping, imaging/microscopy, and computational methods to meet this aim
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, diverse molecular techniques, and advanced imaging. The project will involve both internal and external collaborations, offering the opportunity of interdisciplinary research, conducted in leading labs and
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detailed imagery, but only under cloudfree conditions. Synthetic aperture radar (SAR) can deliver highquality images regardless of cloud cover, but such systems are expensive. Our main research question is
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properties. Optical systems may provide excellent resolution on a cloud-free day. Synthetic aperture radars (SAR) deliver image products even through clouds, but they are expensive. Our main research question