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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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), 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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-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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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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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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educational background and completed research work. Your application must also contain a plan for your doctoral project which includes: project description plan for the training component progress plan funding