13 harmonic-analysis PhD positions at NTNU Norwegian University of Science and Technology in Norway
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distribution. Developing and applying high-throughput data analysis methods for TEM experiments. Investigating corrosion initiation and propagation mechanisms and linking them to alloy composition and processing
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an Integrated PhD study plan[1] You must have some relevant skills and competencies in systems analysis, optimization and/or operations research You must have a strong academic performance from your previous
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) for general criteria for the position. Preferred selection criteria Experience with molecular cloning, microbial strain engineering, or gene expression analysis. Experience with bioinformatics or ML-assisted
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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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of the thermodynamic principles of high temperature and aqueous processes. Solid background in data and/or statistical analysis. Willingness to design and build equipment and scientific instruments. Personal
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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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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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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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, Atmospheric Science, Environmental Science, or related fields Good knowledge and skills in statistics and programming (e.g. R or Python) is required Experience with data analysis related to terrestrial ecology