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bioinformatic analysis of NGS data. Hands-on experience in generating high-quality ChIP-seq data. Hands-on experience in culturing mammalian cells. Experience in molecular biology techniques, including use
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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