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engineering, mathematical and programming contexts Your research will include extending and contributing to models and codes, including both high- and low-level programming languages, e.g. Python/Matlab
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. The applicant should have: A PhD in meteorology, climatology or other related fields Experience in mesoscale modelling, preferably WRF Experience of scientific programming and running code on HPC systems
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theory and empirical methods to answer health policy research questions and improve research methods. Our main research themes include health-related behavior, equity in health and access to healthcare
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development and generative AI tools is an advantage as is an interest in sustainable and ethical AI. You should be committed to producing research that not only advances theory but also benefits Danish society
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also be able to demonstrate excellent ability to code with or learn computer programming languages, such as C++, C#, Python, and/or Matlab. A desire to engage in cross-disciplinary research
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research field • a description of the research literature already published within that field • an outline / explanation of the theories that could be employed • an outline / explanation of the methods to be
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that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics. This PhD project falls under Research Thrust RT3
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will organize several research-related activities, such as workshops and seminars throughout the project period. The work is supposed to empirically test hypotheses rooted in economic theory. The center
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) highly interlinked PhD projects, of which this particular call is for project DC 3: From formal behavioral specifications of chemical systems to their chemical implementation. Systems theory defines a
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Gyrd-Hansen, Professor and leader of STEMBRACE, Ditte Caroline Andersen and collaborate with researchers from various institutes at SDU, Odense. At DaCHE, we apply economic theory and empirical methods