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company, where you’ll take wind farm design and simulation tools to the next level. By fusing cutting-edge physics-based modeling with rapid, data-driven engineering, you’ll develop innovative solutions
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• Experience with diagnostic postmortem Computed Tomography scanning • Experience using an intraoral digital scanner • Experience using the medical image processing software, Myrian, in a forensic context
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models and machine learning and text analysis using natural language processing will be an integrated part of the project hence knowledge, skills, and interest in these areas will be an advantage. We
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phenomena. Developing novel detection methods and innovative light sources. Developing state-of-the-art simulation methods for hybrid light-matter systems. Responsibilities and qualifications As a PhD student
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the value of the green transition. The project will involve a multi-stakeholder innovation process, utilizing a framework of multiple-loop learning to encourage farmers to reflect on their relationship with
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, stability and thereby reliability. In the process of getting to the results, it is envisaged that a number of sub-results can be produced: flow metrics and simulation models specifically tailored for AWE; a
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2750 1476, email: jerome@sdu.dk . If you experience technical problems, please contact hcm-support@sdu.dk. Application procedure Before applying the candidates are advised to read the Faculty information
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resulting phenomena. Developing novel detection methods and innovative light sources. Developing state-of-the-art simulation methods for hybrid light-matter systems. Responsibilities and qualifications As a
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of geology based on sparse observations requires a priori knowledge of geological processes and depositional environments. Near-surface geological models in Denmark achieve the highest precision when based