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alarm signal or take other actions locally. We aim to implement methods for quality control and enhancement of data quality through approaches developed in other PhD projects within SFI Smart Ocean. These
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to describe a condition or make a decision to send an alarm signal or take other actions locally. We aim to implement methods for quality control and enhancement of data quality through approaches developed in
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technical-professional support functions related to teaching and research. It is necessary for the researcher to have extensive laboratory qualifications in biochemical methods. Experience in research
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proficient in both written and oral English. • The applicant must have strong quantitative and computational foundations. • The applicant must demonstrate a strong background and interest in multi-method
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a strong background and interest in multi-method dynamic simulation modeling. • The applicant must be able to work independently and in a structured manner. • The applicant must be able to work
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to this position pursue the development of mathematical methods and computational procedures for data-driven computational mechanics that will be subsequently applied to the aerohydroelastic analysis of offshore
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the European Research Council (ERC) and 50% by the Directorate of Health. The 5-D project will develop methods and digital tools to identify that a person with dementia is at the end of life, aimed to understand
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. Laboratory experience with relevant methods is a significant advantage. Previous research and publication experience will be viewed positively. Experience from thematically relevant research projects
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humanitarian workers in emergency and conflict settings. Collect and analyse data from locally and internationally recruited humanitarian workers, utilizing qualitative and quantitative methods. Collaborate
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questions, theory, method, etc. The proposal must also clearly show how the PhD project fits into profile of the research group Multilingualism on My Mind. Bibliography for the proposed project. A progression