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partners from news media and media technology research topics like media experiences and trust, recommender technology, content production and analysis, content interaction and availability, and Norwegian
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of Offshore Wind Turbines using Contactless Sensors and Operational Modal Analysis”. The main aim of this project is to develop a condition monitoring system with contactless sensors for critical drivetrain
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) Documented record of advanced quantitative methods skills in R and Python, specifically Experience with GIS and spatial data analysis Experience with natural language processing or text-as-data approaches
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familiarity with laboratory methods, such as qPCR, immunohistochemistry and flow cytometry are required. Experience in use of omics tools and handling of big dataset as well as analysis of data using R software
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), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming
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interest for good practice in programming, data management, and data analysis. Emphasis will be placed on personal qualities. We offer An exciting job with an important mission in society. Developing tasks
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interest for good practice in programming, data management, and data analysis. Emphasis will be placed on personal qualities. We offer An exciting job with an important mission in society. Developing tasks
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statistical analysis and ecological data, preferably using R or related tools Good written and oral communication skills in English, and knowledge of a Scandinavian language will be an advantage In addition
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profiling, and bioinformatic analysis. More about the position The main purpose of the fellowship is research training leading to the successful completion of a Ph.D. degree. The duration of the appointment
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on quantitative analysis, design of algorithms, and proofs of algorithm properties. Importantly, the successful candidate has a strong interest in exploring both theoretical and practical aspects of differentially