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candidate is expected to contribute to the overall objectives of the project by being involved in the project management, data collection, and data analysis. The candidate is also expected to contribute
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experimental research-based technology integration, modeling, control, and data-driven analysis and toolset development. Here is the chance to work in a pleasant team atmosphere, dive into research and at
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interdisciplinary DIGIFABA project, aimed at enhancing the sustainability and climate resilience of grain legume production through digital phenotyping, advanced data science methodologies, and mechanistic modelling
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bioinformatic analysis of NGS data. Hands-on experience in generating high-quality ChIP-seq data. Hands-on experience in culturing mammalian cells. Experience in molecular biology techniques, including use
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an independent research career. Responsibilities and qualifications We are looking for a creative and ambitious researcher with a PhD within cellular biology, molecular biology, bioengineering or similar. You must
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, such as corpus analysis, surveys, or other data-driven approaches Strong interdisciplinary orientation and capacity to collaborate across the digital humanities, computational linguistics, media studies
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) including advance SAXS data analysis and modelling . The following qualifications are also important: Have a good understanding of advanced physical-chemical analytical techniques Experience with in-house
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? The analysis will mostly rely on empirical methods, namely on the analysis of: Large-scale microdata sets, in particular, the excellent Danish micro-data; Experiments, both in the laboratory and the field; Other
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our pilot cases Development of building simulation models supporting energy and indoor climate optimization Analysis of building performance data for occupancy detection and predictive modelling