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announcing a PhD position in Logistics focusing on Immersive media technology environments in the analysis of consumer response in circular value chains. The PhD position is organized under Department
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the period 2008 to 2024 will be used to analyse the use of health services, medicines and sickness absence. The source data include linked data from the primary and specialist health services
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marine power and control systems. Interest and experience with experimental work and laboratory-based research. Proficiency in data analysis and relevant programming tools (Python, MATLAB, etc.). Relevant
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novel computational models for intelligent analysis multi-variate time-series data during their PhD studies. actively take part in inter- and multi-disciplinary research activities relevant to AI Hub
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analysis, and documentation. Good networking skills and ability to work in a non-linear, collaborative environment where diverse viewpoints are valued and integrated into the design process. Emphasis will be
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headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here
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storage (CCS) value chain could play an important role in achieving these targets and support local industrial development. As a PhD candidate, you would be expected to contribute to the research within
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Demonstrated knowledge and experience in electrical system modeling and analysis, applied control, power electronic conversion systems and/or optimization techniques. Experience and interest in experimental work
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computational skills (using R, modelling software, working on a remote linux-based server) and experience in analyzing Next Generation Sequencing data, including PCA, outlier analysis, GO-term enrichment analysis
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the project The position is part of the EU Horizon project EU-INTERCHANGE (European Regional and Coastal Seas in a Rapidly Changing Climate) aiming to develop a Digital Ocean Twin based on optimised