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of the position is to create prediction methods for proactive planning of future robot actions and to design robot acting mechanisms for adaptive response ranging from quick and intuitive to slower well-reasoned
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new quantitative methods. Experience with recruitment and testing of research participants, with quantitative research designs that involve surveys. Long-term potential for high-quality research, as
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leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect
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motivation to learn new quantitative methods. Experience with recruitment and testing of research participants, with quantitative research designs that involve surveys. Long-term potential for high-quality
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RE/H2-systems by exploring system designs and operational schemes for locations with different weather conditions, scales, grid constraints, and H2 off takers. Locations with existing RE and/or H2
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be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment
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digital twin solutions that work in practice and that allow us to argue for correctness. The design of the digital twin should allow us to express the correctness of its underlying architecture but also to
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assess the risk for fault reactivation during CO2 storage operations. A detailed project plan will be developed in collaboration with the successful candidate at the start of PhD. Qualification
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and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials. Required
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The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in