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Global) as one of the programmes. It is home to a community of over 100 PhD, Postdoctoral and Professorial researchers working on diverse themes related to sustainable cities and resilient infrastructure
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. Profile PhD degree in Mechanical Engineering, Electrical Engineering, Materials Science or related field from a top-notch university Productive candidates with outstanding publication records in stretchable
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modelling and/or empirical analysis. The research will ideally combine insights from economics and e.g. computer science. Profile Applicants should hold a PhD in Economics with a strong economic basis and
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directly atop the CMOS chips. Job description Therefore, it will be necessary to develop technologies and methods to minimize or avoid light-induced artifacts on the HD-MEAs, to establish and program a setup
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with exam grading. - The anticipated start date is 1 September 2025 (earlier start dates can be considered). - A PhD in Mathematics (completed by the start date) is required. Please submit your
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PhD in Computational Materials Physics or a related area is required. Experience with electronic structure calculations is essential. Familiarity with the use of machine-learning tools in materials
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expected to collaborate closely with the research supervisor and the ODI team members, and assist in mentoring Master’s or Bachelor’s thesis projects. Profile We are seeking candidates with: A PhD degree in
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one of the programmes. It is home to a community of over 100 PhD, postdoctoral and Professorial researchers working on diverse themes related to sustainable cities and resilient infrastructure systems
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2025. Profile A PhD (or equivalent doctorate) in Business Administration, Management, or a related field (e.g., Psychology, Sociology, Engineering, or Economics). A strong publication record (or
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contributing to solutions in the global energy landscape. If you excel in collaborative environments and can bring expertise in some of the areas listed above, we encourage you to apply. Qualifications PhD in