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analysis, to optimize the use of process chemistry as well as additives in fuels and lubricants. This also relates to how droplets propagate into nature and how they may carry chemicals far from where
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to quantify the uncertainty in model outputs using different methods. Run scenario analysis to identify management practices with the largest mitigation potential, both spatially and temporally Support training
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the creator economy. The postdoctoral position is part of the research project ‘New Media Monetisation’ funded by the Aarhus University Research Foundation (AUFF). The postdoc is a full-time, 2.5-year
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electroluminescence and photoluminescence imaging, preferably daylight and field-based methods. Proven skills in data analysis, image processing and machine learning. Experience with PV performance modelling, power
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expertise in dependability, performance, and sustainability will drive us towards a smarter, greener future. By joining us, you stand to gain extensive support unlocking your career potential. You'll have
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knowledge on multi-actor collaboration, networking and bridging, the applicant will conduct ecosystemic analysis and initiate interventions, measure synthesis, dead-ends and resistance and, in comparison with
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the Science and Technology Studies section at DTU Lyngby Campus. You will be affiliated with the Observatory of Human-Centered Engineering (ECHOLab). You will work closely together with a Brit Ross Winthereik
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is to use a cutting-edge ensemble of genetic, cell biological, biochemical, organismal, and modern ‘omic’-approaches to achieve a comprehensive understanding of the process of gene expression. CGEN
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these new large-scale data sources to develop new approaches for analysis of microbial horizontal gene transfer using long-read metagenomics in complex environments. The postdoc will be part of the Microbial