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of an experimental setup capable of measuring outdoors. Processing and analysis of the collected data. Investigate whether the setup can be used to measure precipitating snow properties. Contact For further
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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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Learning from Human/AI Feedback). Moreover, they will employ extensive experiments in collaborating partners (schools, public and private sectors) and engage with the analysis of the collected data
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creativity, problem solving and knowledge co-creation. Moreover, they will employ extensive case studies in collaborating partners (schools, public and private sectors) and engage with the analysis
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-creation. Moreover, they will employ extensive case studies in collaborating partners (schools, public and private sectors) and engage with the analysis of the collected data. This main goal
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, they will employ extensive experiments in collaborating partners (schools, public and private sectors) and engage with the analysis of the collected data. This main goal of this particular PhD fellowship is
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sectors) and engage with the analysis of the collected data. This main goal of this particular PhD fellowship is to explore how humans interact with the automatically generated content, how humans and AI co
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analysis. PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”. The appointment is to be made in accordance with NTNUs guidelines
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partners (schools, public and private sectors) and engage with the analysis of the collected data. This main goal of this particular PhD fellowship is to explore how humans interact with the automatically
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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