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technology, based on aluminium anodes and carbon cathodes. The development will be conducted in a multidisciplinary framework, implying that materials research is aided by sustainability analysis, and focused
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announcing a PhD position in Logistics focusing on Immersive media technology environments in the analysis of consumer response in circular value chains. The PhD position is organized under Department
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technical work packages: WP1 Annoyance from wind turbines WP2 Wind turbine noise data collection and analysis WP3 Wind turbine noise source modeling WP4 Wind turbine noise propagation modeling WP5 Wind farm
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and some familiarity with the preparation of tissue sections Experience working with tissue sections or organoid samples for bio-imaging applications Familiarity with image analysis tools such as MATLAB
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learning is required. Experience with spectral wave modeling is an advantage. Experience with ocean modeling is an advantage. Experience with metocean data analysis is an advantage. Experience with git
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computational skills (using R, modelling software, working on a remote linux-based server) and experience in analyzing Next Generation Sequencing data, including PCA, outlier analysis, GO-term enrichment analysis
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related to handling and storage of biocarbon in the metal production plants. The biocarbon value chains from biocarbon producers to end users need to be improved and tuned to secure safe and efficient
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or other weak points where partial discharges have started can be made with advanced online detection methods. This includes both injection of high frequency signals and analysis of the response
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. The programme is characterized by methodological and theoretical diversity. The training component consists of 30 ECTS credits and will support the work you do in the research component (the thesis
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employment. Required selection criteria You must have an academically relevant background within Risk Analysis or Naval Architecture. This can be proven by the academic papers/presentations, participation