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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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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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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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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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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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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
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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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national and international researchers in the relevant field; Supervising research assistants and, where applicable, PhD candidates; Participating in meetings of the project research group and departmental
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and, where applicable, contributing to the supervision of PhD candidates; Being part of a collaborative research environment that promotes team science in the Stress, Pain, and Anxiety ResearCh (SPARC
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. Are you eager to explore the role of such social dynamics, drawing on insights from multiple disciplines? Are you curious about what we can learn from energy-related interactions in different contexts, from