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the general study programme Wireless communication; as per May 1, 2026, or as soon as possible thereafter. The candidate will be based in Copenhagen at the CMI Section (Communication Media and Information
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, journalism, political science, sociology, law, economics, or computational social science, as well as an interest in how AI transforms the media and information ecosystem. The PhD student(s) will be embedded
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electrical energy storage systems; energy management systems. Experience with data processing, statistical analysis and machine learning techniques is an advantage. Knowledge with Mathworks suite, C/C++ and
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of harnessing the potential of biological systems. Big data approaches and analysis of biological systems are key research instruments at the Center. DTU Biosustain utilizes these advances for microbial cell
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and reshapes higher education practices over time. Methodologically, the project will adopt a mixed-methods design that may combine qualitative inquiry, comparative case analysis, and quantitative
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with leading Danish and European companies, as well as international academic partners. The AI4OR group addresses complex, high-impact problems requiring advanced modelling, data analysis, and
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include production economics, applied micro-economics, efficiency analysis, innovation studies, sustainability transitions, management science, organization and ownership, policy design and analysis
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analysis of next-generation sequencing datasets, such as ChIP-seq, RNA-seq, ATAC-seq Experience in computer programming languages, such as R, Python Experience in quantitative mass spectrometry for analyzing
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and microscopy to decipher the molecular mechanisms of factors involved in co-transcriptional regulation and the composition of transcription complexes in human cells. More information on the Gregersen