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outstanding drive and excellent scientific achievements. Required qualifications: Practical experience with fabrication of optical nano- and micro-structures such as PICs. Practical experience with optical
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-imperial/post-colonial studies, or closely related areas. Experience with digital history or digital humanities methods is an advantage. Given the project’s nature, candidates must be able to work
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experiments, digital technologies, including modelling and remote sensing, as well as interactions with stakeholders are key components of Land-CRAFT. Danish peatlands disappear due to human activities such as
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qualifications at the PhD level in animal science Research experience in dairy cow nutrition and feed evaluation Research experience with the use of stabile isotopes and modelling rumen flows Experience in
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experiments, digital technologies, including modelling and remote sensing, as well as interactions with stakeholders are key components of Land-CRAFT. Danish peatlands disappear due to human activities such as
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physiological characterization of the optimized microorganisms. Qualifications As responsibility is to optimize selected food grade microorganisms, extensive experience with microbiology and metabolic engineering
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opportunity to be part of large-scale experiments tackling pressing societal challenges. You'll be involved in every stage of the research process—from experimental design to data analysis and publication—while
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internationally recognized peer-reviewed journals, experience in presenting their work and strong personal and team-work skills. Demonstrated experience working in large collaborative environments is a plus
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continuous trickle bed reactor setup as well as supporting experiments on and advanced continuous slurry reactor setup. Characterization of gas phase and liquid phase products using a range of characterization
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understanding of chemical safety regulations and frameworks: CLP, REACH, SVHC lists, and GHS classification. Demonstrated experience with: Hazard and risk assessment methods (e.g., QSAR, NAMs, in silico tools