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) umbrella, using artificial intelligence, signal and image processing, computer vision and statistical methods for medical applications – all in collaboration with user partners from hospitals and
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position within the research project “Statistical Methods for Online Detection of Anomalies” (SODA), newly funded by the Norwegian Research Council and affiliated with Integreat – the Norwegian Centre
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research, in and outside academia. The focus for the PhD work will be probabilistic structural lifetime estimation of offshore dynamic riser and power cable systems by use of continuous measurements
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development of computer systems for data analysis, development of machine learning methods, and the clinical use of technology. Within the research groups you will therefore work together with computer
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and science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's education in innovation and
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: The main place of work will be at our campus in Halden, but some presence at our campus in Fredrikstad may be expected. Project description Project title: My AI Co-worker: Exploring AI for Computer Supported
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Council of Norway and will combine high-throughput venomics, bioinformatics, evolutionary methods, and ecological modelling with the exceptional expertise in peptide chemistry and pharmacology within a
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-related issues. Demonstrated training or experience with using econometric methods (e.g., differences-in-difference, regression discontinuity, instrumental variables, fixed effects for panel data, matching
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of the following areas will be a merit. Advanced AI methods development in Python or any other relevant programming language Computer Vision and image analysis Handling of large dataset Qualifications Applicants
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for simulations, we aim to explore solution strategies to calculate the amount of water given meteorological data and map data. Here, in addition to traditional discretization methods such as finite elements and