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develop a stack and scale-up redox flow batteries. Your task is to conduct research on these topics, assist in supervising ongoing research projects and guide the team of PhD students working within
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and adapt assimilation schemes based on generative deep learning methods (such as flow matching and diffusion models). The candidate should have previous experience in data assimilation and/or deep
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electricity to provide active heating/cooling. However, the current fabrication process of TEs is complicated and expensive. Also, current TEs are small and rigid. Finding a way to integrate high-performance
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, the role involves shaping the research agenda, contributing to project deliverables and publishing in leading venues. The candidate is also expected to support PhD candidates in their research activities
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publications. You will assist in overviewing and maintaining the redox flow battery lab. You will assist in the supervision of PhD students and other team members. You will assist in ongoing research projects
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and scale-up redox flow batteries. Your task is to conduct research on these topics, assist in supervising ongoing research projects and guide the team of PhD students working within this field. You
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researchers working in the same field Your profile We are looking for a candidate with a PhD in Economics, preferably with a specialization in applied econometrics. In particular, the following requirements
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, the world-leading research and innovation hub in nano-electronics and digital technologies. Our team is currently a fruitful mixture of people from different nationalities. The primary working language is
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, Trustworthy AI, Software Engineering, and Cybersecurity. The group is developing novel methods, tools, and platforms to support the safe deployment of AI systems in real-world environments. Current research
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machine-verifiable proof (or certificate) of correctness. However, a major limitation of current techniques is that correctness is not proven relative to the human-understandable specification