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- NTNU Norwegian University of Science and Technology
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cases for the position are related to virtual flow metering and well inflow applications. Research tasks include feature identification and selection for robust and trustworthy models. The PhD candidates
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and/or research experience in one or several of the following areas: methods and models related to power system protection and control or real-time systems and power system automation studies
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models related to power system protection and control or real-time systems and power system automation studies. Experience with interdisciplinary research work and methods. Personal characteristics
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addition to their PhD project, they will take part in group activities with the core project team, consisting of the PI, a postdoctoral researcher, and the other PhD research fellow. In addition, PROBONO is supported by
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knowledge about natural resource management Knowledge of software R Strong skills and/or interest in mathematical and statistical modelling is a strength Ability to conduct field work in remote alpine areas
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about the molecular basis underlying variation in these traits. Atlantic salmon is among the most variable vertebrates on Earth in terms of life histories, making it a powerful model to study how complex
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using mouse models. Contact For further information about the position, please contact Associate professor Luis Hortells: email: Luis.hortells@uit.no phone: +47 77644517 Jon Terje Hellren Hansen via
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biodiversity. Specifically, the primary focus of the PhD will be to analyse and parameterize models describing the ecological and evolutionary dynamics of small and fragmented populations, and how the risk of
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section. The PhD-position's main objective is to qualify for work in research positions. You will report to the head of Department. Duties of the position Developing numerical models to simulate the thermo
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of environmental modulation on gametic and early developmental epigenome and epitranscriptome. The project uses next- and third-generation sequencing technologies to generate the data. Zebrafish is a model organism