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porous 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
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, motivation, employed research method, and key findings (max 1 page of 2,400 characters each, including spaces, notes, appendices, bibliography etc.) A certified copy of your master’s degree certificate
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and quantitative sustainability assessment methods, including Life Cycle Assessment (LCA), Energy System Analysis (ESA), and socio-economic modeling. The candidate will be expected to contribute
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, motivation, employed research method, and key findings (max 1 page of 2,400 characters each, including spaces, notes, appendices, bibliography etc.) A certified copy of your master’s degree certificate
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using biochemical and biophysical methods. Bridging protein-level approaches (mutagenesis, immobilization, expression optimization) with process-level solutions (bubble columns, microfluidic devices
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well as qualitative research methods. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for
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Biological Learning Machine, which is headed by Professor Jan Østergaard. The goal is to develop novel information-theoretic methods for identifying and analyzing temporal and spatial patterns of synergy and
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) Use bioengineering methods to recombinantly produce enzymes Conduct laboratory experiments to characterize enzyme kinetics and degradation products Identify key processes that regulate enzyme
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for Quantitative Sustainability Assessment of the Department of Environmental and Resource Engineering (DTU Sustain). The section spearheads the development of sustainability assessment methods. You will become part
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
technologies to study cell signaling and protein modifications providing an essential element of the glycocalyx-focused research at CGR. As such, our core resources include proteomic, glycoproteome data and