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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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Experience with deep learning for image analysis and/or medical image processing Knowledge of self-supervised learning, representation learning, and/or generative models Experience with multimodal machine
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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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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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this decision-making process, using a combination of in vivo voltage imaging, behavior, opto- and chemogenetic manipulation, and ex vivo patch-clamp electrophysiology. The candidate will train mice in various
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22nd February 2026 Languages English English English The Department of Energy and Process Engineering has a vacancy for a Postdoctoral Fellow in Experimental Fluid Mechanics - Combustion
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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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needs to be responsible for reporting progress and delivering outputs to the FAST centre. Duties of the PhD position 1 Study, prototype and validate extrusion processes mechanisms for improved accuracy