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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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about 20 full-time employees. More information is available 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
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in computer vision and neural networks, and want to both contribute to new advances in a field with real world applications. The position is in the Digital Signal Processing and Image Analysis Group
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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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GENESIS is a newly established Life Science Convergence Environment that brings together active matter physics, cell biology, and computational biology to address the fundamental processes guiding
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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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. DigiWells is specifically targeting to test new developments in the North Sea operations. Key questions include: Which measurable drilling (torque & drag, vibration, hydraulics, BHA limitations), geological