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Foundation Center for Biosustainability (DTU Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally
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. As an employee in the Turbine Response section, you are expected to be fluent in aeroelastic simulations, data science and analytics and have a solid knowledge of turbulence-turbine interactions
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position as postdoctoral researcher for 2 years in the area of computational nanophotonics, with a focus on semi-analytical and numerical methods for treating electron-beam spectroscopies. We are looking
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, or in information quality for decision-making. Are skilled in quantitative analytical methods, and ideally have some experience with simulation techniques. Research tasks Review and assess technologies
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, scientific curiosity, problem-solving skills, and independent initiative Strong analytical skills and proficiency in written and spoken English Nice to have: Bioinformatic analysis experience (e.g., single
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well-organized, self-motivated, result-oriented and capable of working independently in a collaborative setting You have strong analytical communication and computer skills Proficiency in spoken and
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spatial variability of soil health. You will be contributing to specifically the area of using proximal and remote sensors, soil physical, chemical and biological data, as well as plant and weather data
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engaged in experimental and analytical work focused on the recycling of textiles through thermochemical and solvent-based processes. A central part of the role involves operating both pyrolysis and
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in analytical methods for protein quantification and functional property characterization. Excellent teamwork, communication, and collaboration skills in interdisciplinary research environments. We
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can use and combine various cutting-edge data modes such as single-cell ATAC-seq, single-cell RNA-seq, spatial gene expression, and whole-genome sequencing. The candidate will get the opportunity