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this knowledge in areas such as energy and materials research. The successful candidate will join a research group with a strong international profile and active collaborations at leading research facilities
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or Python). Knowledge of the social identity approach and health psychology models are essential, and experience of network science or computational modelling is desirable.
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research the dynamic processes of the Earth system. Our vision: “Taking the pulse of the Earth to safeguard a habitable planet.” For section 2.5 Geodynamic Modeling (department “Geophysics”), we are looking
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to predictably control and exploit the drop for useful tasks. Aims: 1. Develop computational models to quantitatively predict the response of chemically active drops to the various physico-chemical stimuli
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children within authentic educational settings. The project combines experimental research, classroom studies and computational modelling to better understand what makes children curious, how they decide
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will be to quantify how mixing aircraft with strongly differing performance characteristics affects safety, efficiency and capacity, and to develop the metrics and models needed to make those effects
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(further funding will be applied for) and focuses on power systems engineering in the context of the next phase of Iceland’s energy transition. It builds directly on established modeling work at Reykjavík
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of data, expert knowledge, computational models, digital twins, and advanced artificial intelligence within a new intelligent decision-support framework. This position corresponds to Doctoral Candidate 15
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: Expert knowledge on coupled 3D hydrodynamic-biogeochemical models and agent-based models Expert knowledge of marine physical- and biogeochemical processes in coastal and/or open waters Very good skills in
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were awarded in the second-cycle, or acquired substantially equivalent knowledge in some other way in Sweden or abroad (Higher Education Ordinance 1993:100, Chapter 7, Section 39). Specific entry