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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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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 of Informatics
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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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, foundation models, multimodal data, and combine this with either modelling knowledge, incorporate reliability/uncertainty, and/or explainable models. The position is in the Digital Signal Processing and Image
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real world applications. Your research focus will be on challenges related to computer vision for geophysical image data. You will investigate and develop robust methods for training models, exploring
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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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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
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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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(time-course and quantity of gaze/eye-movements), neuro-physiology of language processing in the brain and neuro-imaging (https://www.ntnu.edu/langdevlab#/view/publications ). The main responsibility