232 phd-in-architecture-interior-design-built-environment Postdoctoral positions in Denmark
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background in feed processing technologies, biochemical, and chemical evaluation methods. Proven experience in experimental design, data analysis, scientific communication and writing. Demonstrated ability
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computational humanities audiences. Qualifications Applicants should: Hold a PhD or equivalent qualifications in computational history, computational archaeology, computational social science, cultural evolution
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and PhD degree or equivalent) Research plan – description of current and future research plans (1 page, incl. fig.) Complete publication list Separate reprints of 3 particularly relevant papers
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directed to Associate Professor Helle Strandgaard Jensen (hs.jensen@cas.au.dk ) Qualifications A PhD in history, cultural studies, anthropology, sociology, media studies or related areas focusing on modern
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Department of Mathematical Sciences, Aalborg University, Denmark. The project is funded by the Novo Nordisk Foundation. Your profile Applicants should hold a recent PhD degree in Chemistry or similar, with
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research environment focusing on integrating multi-source data and developing novel algorithms to address the challenges posed by global environmental change. You will focus on integrating experiments, field
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directed to Associate Professor Helle Strandgaard Jensen (hs.jensen@cas.au.dk ) Qualifications A PhD in History, Cultural Studies, Anthropology, Sociology, Media Studies or related areas focusing on modern
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letter no longer than one A4 page. Optional: One reference letter from your PhD supervisor and one reference letter from any scientist from your past working environment. Alternatively, you can also
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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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characterization in complex in-situ environments. The key responsibility of the position is to develop post-processing methods to extra essential features from the collected measurement data despite drone positional