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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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Mechanics, Combustion and Flame, Proceedings of the Combustion Institute. Experience with computer aided design (CAD). Strong background and or qualifications in machining and general workshop skills
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transfer the methods to innovations in close collaboration with Aker BP and/or Equinor. The position is in the Digital Signal Processing and Image Analysis (DSB) research group, Section for Machine Learning
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viability data to discover new biomarkers and treatment strategies. You will work in a highly interdisciplinary environment spanning oncology, cell biology, imaging, bioinformatics and machine learning, with
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environment spanning oncology, cell biology, imaging, bioinformatics and machine learning, with access to state-of-the-art robotic drug screening and high-content microscopy infrastructure at the NOR-Openscreen
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model checking to ensure statistical correctness of the results Machine learning–based classification and regression methods The candidate will also design and develop new software and prototype models
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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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complementary and synergic methods at the intersection of Artificial intelligence, Machine learning, Numerical simulation, Formal verification. Such methods include, among the others: AI-guided simulation
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the Job related to staff position within a Research Infrastructure? No Offer Description The position is in the Digital Signal Processing and Image Analysis (DSB) research group, Section for Machine
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have experience with applications of machine learning and deep learning on medical image data that you have experience applying methods within generative artificial intelligence to medical images and