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of simulator studies - Analysis of performance, reliability, and organizational aspects - Assisting with the teaching duties of the Chair of Ergonomics - Collaboration on applications for publicly funded third
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efficiency measurement at various levels, - policy design and impact analysis, - resource allocation, growth and welfare evaluation, - technology diffusion and firm level innovation. leading
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environment, - digitalisation, AI and smart technologies in the livestock sectors, - climate change and policy, - agricultural, food and environmental policy impact analysis, and/or - production efficiency and
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. Methods, 2024). The approach is still in its infancy; hence we need to drive the further development of the imaging technology, labeling agents and analysis approaches at the same time. To demonstrate
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• Conduct in depth technology competitive analysis, market landscape overview, and positioning for subsequent fundraising and go-to-market activities. • Lead the acquisition of future funding in close
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levels, - policy design and impact analysis, - resource allocation, growth and welfare evaluation, - technology diffusion and firm level innovation. leading to an internationally competitive PhD degree and
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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry
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the objectives more precise; working on the individual PhD study project with its focus on the methodological contributions as well as on empirical data processing for the case study analysis in collaboration with
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tools. Research topics include geometric modeling of engineering products, methods of geometric analysis, methods of Building Information Modeling, modeling and simulation of construction processes, and
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resource economics) or related disciplines strong analytical (i.e. microeconomics, production or resource economics) and methodological skills with a focus on quantitative data analysis (e.g. econometrics