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communication. Two postdoc positions are available in the group of Prof. Dr. Stephanie Wehner at QuTech, Delft University of Technology. The group’s mission is to push the boundaries of quantum network technology
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disciplines and work with uncertainty; excellent written and verbal communication skills in English; a proactive, connecting working style and the ability to collaborate effectively with diverse stakeholders
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program that connects education, research, and industry to accelerate the green hydrogen transition. UB4H focuses on building innovative learning communities and digital solutions that prepare professionals
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(“overparameterized”) machine learning models, like probabilistic graphical models, deep neural networks, diffusion models, transformers, e.g. large language models, etc. SLT is based on the geometrical understanding
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on building innovative learning communities and digital solutions that prepare professionals for future roles in a rapidly evolving energy sector. By working in an interdisciplinary team, you will contribute
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to fostering a close-knit, interdisciplinary academic community. Experience with diverse research methods and techniques. A growing network of academics and professionals in the field of intelligence and
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, the fusion community has started to develop fast surrogate models based on Machine Learning / AI models to speed up significantly the employed tools. Such tools have demonstrated to be generally applicable and
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-affective processes, and contemporary approaches to modelling symptom network dynamics. A central objective of the project is to identify dynamic indicators of reduced resilience and maladaptive stress
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happens in source areas is also essential for interpreting developments in nature reserves. You will be responsible for: statistical evaluation of air-quality monitoring network designs, including
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project-related administrative tasks; Actively contributing to the research activities of AHM and developing national and international research networks and other forms of cooperation. This is what we ask