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problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control
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production networks into mathematical formulations (Linear Programming or others) to find solutions. Experience (via master’s project or/and experience) with Techno-Economic Analysis (TEA) and Bioprocess
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good process simulation and sustainability assessment skills. The FrameBio PhD project, is part of prestigious Marie Skłodowska-Curie Actions (MSCA) Doctoral Network, a collaboration between 16 partners
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to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a suite of
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the analysis of organizing processes and their outcomes. Methodologically, we value qualitative research methods highly and often adopt case study, field work methodology or social network analysis. The teaching
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and data analysis Furthermore, the successful candidate is expected to: Have excellent knowledge of English (written and spoken). Have high self-motivation to learn. Be able to work well and communicate
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of greenhouse gases including CO2 and CH4. The PhD project is part of the Horizon Europe Marie Sklodowska-Curie Action (MSCA) doctoral network (DN) ELEGANCE (machinE LEarning for inteGrated multi-parAmetric
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carbon electrodes developed in the network. You will leverage advanced data analysis methods such as Distribution of Diffusion Times to obtain insight into mass transfer and microstructural effects in
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Design invites applications for a PhD stipend in the field of causal discovery and spatiotemporal analysis of brain signals. The stipend is within the general study programme Electrical and Electronic
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@biosustain.dtu.dk MSCA doctoral network ELEGANCE website: https://elegance.dtu.dk/ Google Scholar profile: https://scholar.google.com/citations?hl=en&user=yZDS88IAAAAJ More information about DTU Biosustain