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- NTNU - Norwegian University of Science and Technology
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, NTNU, SINTEF, Cicero and Norwegian Computing Center, as well as other stakeholders like Møre and Romsdal county collaborate. The overall objective of TRANSPLAN is to develop models and methods to support
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-cycle fatigue. The research methods are based on both small-scale and full-scale experimental testing and on Finite Element Modelling. Are you motivated to take a step towards a doctorate and open
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. The project requires knowledge of real options analysis, quantitative modelling skills and understanding of the CCS value chain. The aim of the project is to: Develop methodologies to assess investment
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, utilisation of natural resources, shipping, predictive modelling, or climate risk Core courses in probability and statistical inference, optimisation, microeconomics, scientific methods Elective courses in
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include, but are not limited to, in vitro culture of primary human cells and cell lines, organ-on-chip models, molecular biology, diverse immunological assays, advanced flow cytometry, fluorescence
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of buildings by combining simulations with experimental data investigate human comfort based on the experience of the occupants of buildings building information modelling and digital twins development of user
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relevant experience in the development and deployment of machine/deep learning models as well as the use of remote sensing data You must have relevant experience in the development of hydrodynamic and water
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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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archaeological excavations and dating with climate modelling on the one hand and research on human minds and sociality on the other. The PhD position will be part of an interdisciplinary project with the goal
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energy-efficient buildings Methods and models for energy demand calculation of buildings and/or neighbourhoods Methods and models for environmental life cycle assessment of buildings and/or neighbourhoods