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solvers and optimization algorithms for 1 year and 4 months. The Section of Solid Mechanics conducts research and teaching in the fields of structural and materials mechanics, vibration and their active
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expertise in autonomous marine systems. The research focus will be on development, implementation and verification of novel algorithms for motion planning and control of autonomous underwater vehicles. You
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degradation modes. Evaluating suitable sensor technologies and data sources for acquiring relevant metrics. Developing tools and algorithms to automatically analyse sensor data, assess asset condition, and
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solutions and policy impacts. You will design and implement machine-learning algorithms that interact with your simulation framework for scenario discovery, building surrogate models of simulation outputs
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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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for leading the following efforts: Design, build, and characterize engineered yeast strains and synthetic biology systems (e.g., DNA design, cloning, PCR, plasmid building, genetic engineering, mutagenesis
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tasks will be to: Genetic engineering of bacteria. Phenotypic characterisation of engineered strains. Teach and supervise BSc and MSc student projects. You must have a two-year master's degree (120 ECTS
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genetic manipulation of (non-model) bacteria Demonstrated ability to work independently, take initiative, and drive projects forward Well-organized, reliable, and motivated to help establish a positive
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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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research initiative MHI aims to establish a potential causal link between the gut microbiome – the combined genetic material of the communities of bacteria and other microbes in the human gut – and the