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Is the Job related to staff position within a Research Infrastructure? No Offer Description You are keen on contributing to new advances in deep learning methodology for imaging for monitoring marine
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modelling knowledge, incorporate reliability/uncertainty, and/or explainable models. The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department
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on challenges related to computer vision for geophysical image data. You will investigate and develop robust methods for training models, exploring/developing approaches for multimodal data, utilize context
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at http://www.icgi.no and http://www.domore.no. The position is based in the Digital Signal Processing and Image Analysis group (DSB), Section for Machine Learning, at IFI. DSB has seven full-time and five
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to both contribute to new advances in a field with real world applications. Your research focus will be on challenges related to computer vision for geophysical image data. You will investigate and develop
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to a range of new imagebased technologies that is rapidly changing society. Despite these advances, the potential for deep learning and machine learning solutions for image processing is vast, especially
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at the Department of Informatics. Position as Postdoctoral Research Fellow available at the Department for Informatics with the research group Digital Signal Processing and Image Analysis (https://www.mn.uio.no/ifi
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employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . About the position We are offering an exciting
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. The first is to identify what aspects of bilingual experience (e.g., frequency/intensity of language engagement, duration of bilingual experience, etc.) affect adaptations in specific cognitive processes and
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generation of scholars and research leaders in this increasingly important field. By fostering collaborative research across linguistic theories, neuroscience, and language acquisition/processing, we will