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Architectural Technologies is looking for a postdoctoral researcher to study smart living solutions and collaborate in different research projects with external stakeholders. Information The chair of Smart
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outcomes under different market design scenarios. The research will combine machine learning, stochastic optimization, and agent-based modelling with behavioural experiments. Case studies from emerging
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can differences in accepting such behaviour as legitimate action – a vital component for the success of a political candidate – be explained? Against the background of an increasingly polarized society
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of various hydrogen generation technologies: water electrolysis (different types, alkaline, PEM, SOEC, AEM), methane pyrolysis (plasma) and system integration. Our focus in on the system integration, taking
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direction of this research, shaping the application domains we explore based on their interests and vision for where quantum networks can make a difference. The successful applicant has an excellent track
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digital manner. You enjoy solving complex experimental challenges and take initiative in improving reaction procedures and analytical methods. A PhD (working and thinking level) in Physical Organic and main
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of Environmental Technology is a large and vibrant research group of about 30 scientific staff-members, 10 laboratory and technical support staff, 80 PhD candidates and 6 postdocs. The group has close collaborations
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between soil porosity and decomposition. In total, you will thereby seek to predict how organic matter decomposition across different carbon pools will contribute to land subsidence. In this research, you
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-disciplinary team with many stakeholders. In addition you have: An MSc and PhD in Geosciences, Environmental Science or Engineering, with a focus on Soil Physics, Geotechnical Engineering, or Geophysics; You
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for improving AI systems’ resilience against security, privacy, and fairness attacks, as well as to increase the trust that their users have in these systems, while accounting for different phases of the AI life