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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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. Develop GUI tools for the developed methods. Publish high-quality journal papers. Supervise MSc student projects and be co-supervisor for PhD students. The successful candidate is expected to have: A keen
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CAPeX research themes and X-trails, our organization, and the other open PhD and postdoc cohort positions at http://www.capex-p2x.com . The automation of laboratory experiments concerning materials
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Post-Training Techniques: Exploring and designing post-training strategies (e.g., Supervised Fine-Tuning, Reinforcement Learning, or novel alignment protocols) targeting Danish and other Nordic languages
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, understand and analyze amicable and flexible future inter-cooperations between local communities and national authorities. Requirements The successful candidate has a PhD in Arctic Climatology, Sea-Ice
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studies limited to crystalline POMs and remove existing confines imposed on the rational design of tailor-made non-crystalline POMs to meet unmet needs in fields such as energy storage, sensors, catalysis
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with a PhD degree in Computer Science, Geoinformatics, Geography, Geology, Environmental Science or related fields. We look for the following specific qualifications: Thorough understanding
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with a PhD degree in Computer Science, Geoinformatics, Geography, Geology, Environmental Science or related fields. We look for the following specific qualifications: Thorough understanding
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fluent in English (written and spoken), hold a PhD degree within epidemiology and have a track-record within the field of observational research, preferably within pharmacoepidemiology. Experience with
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is a natural part of the position. Qualifications PhD degree in Plant, Horticultural or Agricultural Science, postdoc experience is preferred A proven publication record in international peer-reviewed