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temporal scales - in both terrestrial and aquatic ecosystems, their origination and their response to global changes. To make these connections, we collect data through environmental DNA methods, remote
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apply for third party funding. Contributions to teaching within the Engineering Geology group are also expected. Profile PhD in Data Science, Computer Science, Mechatronics, Remote Sensing, Engineering
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that uses the modulation of light in soft matter to encode multifunctionalities in the optical path. The goal of this project is to develop novel optical sensing scheme in soft materials and demonstrate
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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
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Applicants should have recently earned a PhD in Economics and should show interest in the topics of the group. The preferred candidate has demonstrated her or his potential to conduct high-quality research
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, including student tutoring and seminars. You will organize at least one full-week excursion for students and PhD students to visit the most interesting objects on site. Profile You are holding a university
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responsibility in a highly interactive international environment with other Postdocs and PhD students. Moreover, the candidate will also be involved in project management and grant acquisition. The position is
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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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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