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Hardware-in-the-loop testing) and control-in-the-loop testing will be an advantage. Experience with stability studies based on state-state modeling of power systems will be merited. Personal characteristics
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data analysis workflow from data import/cleaning to descriptive statistics and at least one inferential model. Code must be included and clearly commented. This is required to demonstrate advanced
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. This means that the average grade for the master's degree, converted into numerical points, can be lower than a pure B, but must be higher than a pure C. In such cases, the applicant's merits after completing
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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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with—or documented interest in—advanced statistical methods for causal inference in observational data, model-based imputation, genetic epidemiology, or the application of machine learning to registry
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, model-based imputation, genetic epidemiology, or the application of machine learning to registry data is highly valued. Clinical experience with patients suffering from headache disorders is considered
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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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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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considered for admission. This means that the average grade for the master's degree, converted into numerical points, can be lower than a pure B, but must be higher than a pure C. In such cases
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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