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to contribute to a positive, creative and productive research culture in the iGRIDS group and the wider department. You must hold a PhD in Energy Engineering, Electrical Engineering, Mechanical Engineering with a
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interdisciplinary collaboration of engineers, sociologists, hydrologists, economists, and policy scholars to build innovative tools and insights as to how hurricanes, floods, and other climate-related hazards
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Tenure Track in Sensory and Consumer Science at Department of Food Science, Aarhus University, De...
aligned to the Science Team ‘Food Quality Perception and Society’ (FQS) at the Department of Food Science http://food.au.dk/en/foodresearch/science- teams/food-quality-perception-society/. The Science Team
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members fostering a collaborative atmosphere (2 Professors, 4 PostDocs RA, 15 PhD students, 1 Research assistant). SpaceR's state-of-the-art facilities include two physical laboratories, the LunaLab and
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-reviewed journals and at conferences Your qualifications: A Master’s degree (or equivalent) and a PhD degree in Civil or Environmental Engineering, Geosciences, Geophysics, Environmental Sciences
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the fundamental science that will lead to realizing the potential for the subsurface storage of CO2 through mineralization. The successful candidate should have a PhD in civil engineering, mechanical engineering
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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out spatially distributed measurements with for example shallow-depth geo-radar. You will be based at the department of Geoscience & Engineering (GSE) within the faculty of Civil Engineering and
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developing ADRD studies of deeply phenotyped participants at high ADRD. Bloods are collected longitudinally and assessed for different types of omics. The postdoc will work closely with the PI and a team of
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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural