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research, publication, data analysis, and laboratory work, with the opportunity to participate in planned field expeditions to Greenlandic coastal and shelf waters. You will investigate key parameters
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adaptive laboratory evolution or microbial strain selection Experience with CRISPR/Cas systems for genome editing Familiarity with omics data analysis and/or metabolic modeling Prior involvement in setting
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research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our research results
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research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our research results
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cell differentiation towards several neuronal and vascular phenotypes Characterize cell populations using gene expression and microscope analysis Contribute to establishing embedded 3D bio-printing
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of complex microfluidic hydrogel networks, integration of micropumps for bubble-free aseptic perfusion, and non-contact mapping of multiple metabolites during tissue culture. You will be working on all aspects
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, which greatly increases the complexity and cost of making such measurements. Therefore, research on alternative methods to detect tiny magnetic fields is a top priority. In a large Novo Nordisk Foundation
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and reduction of very large data sets, data analysis, and simulations of X-ray scattering and spectroscopy signatures of dynamic processes in battery materials. The theoretical/ simulation efforts
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experience in quantitative modelling, preferably using R. Is fluent in English (spoken and written) and has good communication skills. Is enthusiastic about developing replicable models to address complex risk
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expertise in thermo-fluid engineering, thermodynamic modelling, and optimization. The ideal candidate will demonstrate: Proven experience in thermodynamic modelling, thermo-economic analysis, and multi