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Field
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Energy in Kenya and Zambia to examine and prototype data repositories and data catalogues to support findable and accessible data. You will work within a small team at KTH and lead technical work
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underlying data. The work may also include leading and managing special projects and activities in teams that prototype and address community challenges involving the position’s scope. You will report to
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retrievals (i.e., extracting geophysical data from observations). A possible second position has the aim to download radar images from the satellite Sentinel-1 and the Radarsat constellation mission and
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the masses. Meanwhile, developing software for an AI-powered automated imaging farm, which involves robotic and imaging hardware control, experiment planning, and real-time AI-powered data analysis. You will
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horses, but to some extent also ruminants. The group uses both sensor-based technology, image and video analysis and addresses research questions linked to normal function, sports, production, welfare, and
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to link the perception of odors to brain processing through the use of a range of different methods, including electrophysiological measures (EEG), functional and structural brain imaging, as
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(i) Geometry and computer vision (including analysis of video, audio, radio, and radar signals), (ii) Medical image analysis, and (iii) Machine learning/artificial intelligence. The group boasts
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the consideration of modern hardware accelerators such as GPUs. Application to relevant test cases stemming from X-ray multi-projection imaging experiments at MAX IV and other facilities is planned. (Contact: Robert
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-driven precision medicine and diagnostics. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from
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cancer precision medicine and computational pathology. Our research is based on large and high-dimensional datasets across multiple modalities, including molecular, clinical and histopathology imaging data