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industrial and academic partners. The overall goal of the project is to optimize the design of water eletrolyzers for efficient green energy production. You will be conducting Computational Fluid Dynamic (CFD
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for a highly motivated and enthusiastic scientist with the following skills and experience: Essential experience and skills: We seek an internationally competitive candidate with: A PhD in biology or
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and glycan-based vaccines. Undergraduate and PhD research projects can be integrated into the projects, and you are expected to interact with and co-supervise those projects. Additionally, some teaching
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successful candidate will have previous experience in computer science or data science, with a PhD and publications in at least one of the following areas: Formal modelling and verification of business
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with: A PhD in biology or related field. Strong background in community/macroecological research. Proven publication record in respected international peer-reviewed journals. Documented strong analytical
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experience and skills. We seek an internationally competitive candidate with: A PhD in biology or related field. Strong background in macroecological research. Proven publication record in respected
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must hold a PhD degree (or equivalent). The ideal candidate holds a PhD in entrepreneurship, innovation studies, economics, management, or a related social science discipline, and has experience with
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PhD in biology or related field. Strong background in movement/community/macroecological research. Proven publication record in respected international peer-reviewed journals. Strong analytical skills
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analysis Close collaboration with an interdisciplinary team. Research and teaching efforts at a section and departmental level as appropriate and relevant (e.g., teach and supervise MSc and PhD student
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-band. We are looking for two postdoctoral researchers, who have excelled in the PhD projects and/or previous postdocs positions to join our team working towards demonstrating chip-scale quantum light