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and simple quantitative research analysis of born-digital sources by leading international experts ample professional development opportunities within the area of digital history, especially in relation
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two PhD students in the groups, and your newly developed tools will support the analysis and interpretation of their data. You will interact strongly with several international collaborators, both
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model with a farm model Run scenario analysis to identify management practices with the largest mitigation potential, both spatially and temporally Coordinate and contribute to dissemination
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explores the Danish Golden Age (1750–1930) through a detailed analysis of textual and visual sources using a computational approach. The Danish Golden Age marked the emergence of structured news flows
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background in feed processing technologies, biochemical, and chemical evaluation methods. Proven experience in experimental design, data analysis, scientific communication and writing. Demonstrated ability
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candidate will possess proficiency in: Policy engagement, stakeholder consultation, and socio-economic analysis in an agri-food context. Advanced communication skills and the capability to interact
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, Fortran, or other relevant languages. Knowledge of statistical methods for climate data analysis. Experience with high-performance computing (HPC) environments. A strong publication record relative
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Hartvig Clausen (DTU) and U Copenhagen scientists Dr. Céline Galvagnion, Prof. Nikos Hatzakis, Prof. Martin Lauritzen and Dr. Krzysztof Kucharz. Work includes purification and biophysical analysis
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. Demonstrated skills in computer programming and analysis of complex data sets. Excellent English language and communication skills (written and oral), critical thinking, instrument trouble shooting. Good