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PhD students and research assistants involved in the project. Provide training on experimental techniques, data analysis, and scientific writing. Requirements: Educational background: A Ph.D. in Plant
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for Alzheimer’s disease and related dementias. Develop, adapt, and implement statistical and analytical methods tailored to complex population-based and longitudinal data, including method development
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; 2) Supporting the development and application of analytical and data-driven approaches for system condition assessment and performance evaluation; and 3) Assisting in the development and validation
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on understanding the aerodynamics and aeroacoustics of overlapping propeller systems. This project will involve high-fidelity flow and noise measurements, combined with semi-analytical predictive models
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Experiments (DoE) Practical experience with analytical techniques relevant to polymer or chemical process research Ability to communicate complex information clearly Fluency in relevant models, techniques
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research output and impact targets (e.g. high-quality publications, grant applications, impact and engagement exercises). About the person: The successful candidate must: Have or be about to obtain a PhD in
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(CEDRN). This role will focus on developing and piloting ED-based surveillance methods, generating high-quality data to inform public health decision-making, and advancing national capacity for future
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testing, instrumentation, data acquisition systems, and numerical or analytical modelling of fatigue damage will be considered an advantage. motivation and potential for research within the field
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to the international initiative “Antarctic InSync.” For more information, see: https://ic3.uit.no/ . The position is based in the Marine Ecology section of the Research Department and will involve collaboration within a