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-field NMR instruments. Strong data analysis skills for interpreting metabolic NMR datasets. Knowledge of stable isotope tracing and metabolic flux analysis. Excellent communication and teamwork skills
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, GC, and other relevant compositional and structural analysis methods. A strong publication record in peer-reviewed journals and demonstrated ability to conduct and lead independent research activities
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disease and dietary interventions is required, while experience with sequence-based analysis of bacterial communities and chemical characterization of microbial metabolites (e.g. LC-MS/MS) is considered a
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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 contribute to creating a better society by supporting
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employment The position is for a 2-year period starting 15 July 2026. Job description The post doc will join Kasper R. Andersen’s research group working on structural and functional analysis of plant receptors
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key genetic factors for thermotolerance and alternative carbon utilization, including literature analysis, genetic crosses, and mutant library screening. Apply findings to engineer yeast strains with
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the following areas. You have a background in tissue-based molecular research and experience with tissue sectioning and the generation and analysis of spatial molecular data. Programming expertise in Python and R
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. Applicants should have experience with qualitative methods such as interviews, observations, and discourse or document analysis, ideally in relation to AI and ethics. Strong interpersonal and communication
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advancements in spatial bioinformatics. Assist with the epigenetic analysis performed within CIMP and MBH lab. What we offer Opportunity to become a leading-edge expert in spatial bioinformatic, being
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of strains) to in-field testing of up to 800 strains. The scale and standardized approach will create a unique foundation for advanced data analysis, including AI, machine learning, and statistical modelling