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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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functional genomics methods (e.g., ATAC-seq, ChIP-seq, CUT&RUN) and omics data analyses is considered highly advantageous. Selected references: Jakobsen et al., 2024. MYC activity at enhancers drives
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
system with an open source data structure. The setup is ready for developmed of digital twins to improve and scale the technology to offer the world a new pathway to sustainable proteins. In a
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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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, creating CRISPR engineered cell lines, generating NGS data, including high-quality ChIP-seq data. The candidates with experience in both wet lab and bioinformatics will be able to do both (i.e. work in the
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, a support-staff of ~30 people, ~150 PhD-students and postdocs and around 400 students. For further information, please contact Professor, dr. scient. et techn. Bo Brummerstedt Iversen (bo@chem.au.dk
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transcriptomics data is an advantage. We offer: A 3-year postdoc position in a supportive, stimulating, and interdisciplinary research environment Training in a wide range of scientific and transferable skills
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, with an annual intake of ~160 students. For more information, please visit: http://mbg.au.dk/ – Department of Molecular Biology and Genetics https://nat.au.dk/ – Faculty of Natural Sciences http
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Postdoctoral position in structural and biophysical analysis of plant hormone transporters within...
information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences and Aarhus University, respectively. Please
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work is Department of Molecular Biology and Genetics, Aarhus University, Universitetsbyen 81, 8000 Aarhus C The area of employment is Aarhus University with related departments. Contact information