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characterize how carbonate system perturbations evolve, dilute, and dissipate in dynamic coastal environments, following mCDR interventions. Although the primary observational tool will be discrete samples
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and social value consistent with the mission of The Open University. You will work with subject specialists to develop an original contribution to knowledge as well as your skills in research
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on behaviour and quality of life. Your insights will directly shape the explainability features developed in the AI-focused PhD project. The ideal candidate holds a master's degree in psychology or is
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My primary areas of research activity are two fold: first, studing thermonuclear (X-ray) bursts from accreting neutron stars; and second, searches for optical counterparts of gravitational-wave
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disintegrative effects of blockades with regard to markets, wartime societies and the international order. The team members will work together across locations to build a rich primary source base for BLOCKADE
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duties after employment. Required selection criteria You must have a relevant Master's degree in Mechanical Engineering, Engineering Mechanics, Aerospace Engineering, Data Science or equivalent. Your
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research assistants, and research associates. Research assistant positions conduct research under direction of a principal investigator; research associates conduct research with only general guidance
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social sciences embedded in an engineering environment. Your main supervisor will be Senior Researcher Sophie Nyborg, and you will join the PhD School at DTU Wind and Energy Systems. Responsibilities and
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of cyber-physical energy systems. Tasks The PhD student will contribute to research on secure and efficient AI for embedded cyber-physical power electronic systems. The main activities include: Analyzing how
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modelling and scientific computing. We also expect a high level of soft skills: working in a team, reporting, presenting, etc. You must have a two-year master's degree (120 ECTS points) or a similar degree