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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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integrate machine learning algorithms and Earth System Models to emulate carbon processes in the ocean connected to the biological activities. You will be enrolled in DTU’s Section for Oceans and Arctic and
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separate job advert “Postdoc in advanced reconstruction algorithms for time-resolved nano CT of sustainable cement ”) Research and teaching efforts at a section and departmental level as appropriate and
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Nordisk. The project will explore the correlation between gene dosage, stability and productivity. Further, different approaches aimed at stabilizing genetic constructs, such as genome integrations
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the molecular-genetic foundation for how microbial physiology is shaped by fermentation and formulation processes—and how those processes, in turn, affect the application efficacy of microbial products
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for experimental research within molecular biology, strain engineering, high throughput screening and fermentation at different scales. Responsibilities and qualifications Focus is on genetically engineered bacteria
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profile, then don’t hesitate to apply. Responsibilities and qualifications Tasks and responsibility include optimization of safe microorganisms to produce selected essential amino acids genetic and
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are the characteristics of good performing biofertilizers? Your research will center on understanding the genetic basis for strains’ fitness (robustness) in soil- and plant microbiomes, their mode of action
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bacteria, including E. coli. Experience with investigating protein folding of complex proteins. Development of synthetic biology tools for modularizing genetic elements to facilitate efficient cloning and
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Aqua), Section for Marine Living Resources. Workplace will be in DTU Aqua’s center for freshwater ecology and fisheries in Silkeborg, which includes the research area population genetics. However