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the group's research on developing novel machine learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image
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application process here . ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position We are seeking an enthusiastic and highly
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performed in close collaboration with experienced team members. Additionally, the candidate will acquire skills in performing in vivo PET/SPECT and MR/CT imaging experiments and data analysis. The candidate
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applying it for climate reconstructions through the late Quaternary and beyond. Our methodological focus has been on identifying and characterizing non-thermal factors or processes that potentially affect a
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questions related to the molecular regulation of autophagosome formation, using cell biological, genetic, and imaging-based approaches. The candidate will explore the function and regulation of proteins
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-depth literature study of edge systems, distributed systems and simulation. You will perform experimental studies of computer systems with the emphasis on the time and energy consumption predictions. From
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landscape analyses using satellite images before field mapping. The time series will be based upon studies of sediments deposited in glacier-fed distal lakes analysed with ultra-high-resolution scanning
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national and international partners. The PhD project will focus on integrating advanced photogrammetric techniques applied to historical aerial imagery with modern deep learning-based image classification
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technology, and ethics. You will be also part of the Digital Signal Processing and Image Analysis (DSB) group in the Department of Informatics at UiO. Francesco Saggio/UiO via Unsplash Francesco Saggio/UiO
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relevant policy developments at the national level, for instance explored through process-tracing or large-text assessments. The Postdoctoral Fellow is expected to contribute to cross-disciplinary