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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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Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the position see https
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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 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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(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
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Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 2 Feb 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Is the
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2026-2030. There will be approximately 25 doctoral scholarships and some postdoc positions. More information can be found here: https://www.ntnu.edu/mai Duties of the position Complete the doctoral
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acquisition/processing, we will focus on the effects of multilingualism – for the languages involved, for the brains that house them, and for the learning and teaching of multiple languages. C-LaBL is divided
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therapy selection for metastatic colon cancer using patient-derived mini-tumours (tumouroids), high-content imaging and drug repurposing. As our new postdoc, you will be a key driver of this effort