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hold a PhD in biotechnology, microbiology, or similar. The ideal candidate also has one or more of the following: Hands-on experience with the cultivation of anaerobic microorganisms (i.e. acetogens) and
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. Candidates should hold a PhD degree in a relevant area. Of particular relevance: Experience with RNA work and cellular laboratory models will be an advantage. Demonstrated record of international publications
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documentation and teaching modules for industry and engineering students. Your profile A PhD in Materials Science, Mechanical Engineering, Metallurgy, or a related field. Proven experience in experimental
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academic qualifications at PhD level, for example within (but not limited to) the following areas: metabolism, physiology, molecular biology, pharmacology, or biochemistry. Candidates with strong experience
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the group and C3. Your profile PhD degree in Atmospheric Science, Chemistry, Physics, Nanoscience, Environmental Engineering, Meteorology or similar. Strong interest in atmospheric sciences, documented by
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consortium’s strategies here and original articles here (antibodies) and here (screening). Your profile Applicants should hold a PhD in experimental protein science, preferably with experience in biophysical and
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sediment core laboratory. Qualifications The qualified applicant will have a PhD degree in geoscience or related fields. Candidates should have a background in high-resolution marine seismic and acoustic
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advisory services, and the Danish Government is a natural part of the position. Qualifications - PhD degree in Plant, Horticultural or Agricultural Science, postdoc experience is preferred - A proven
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profile: A PhD in environmental sciences, agriculture, engineering, meteorology, agroecology, biology, or a related field. Documented experience in scholarly work in greenhouse gas measurements
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qualifications: A PhD in agricultural sciences, crop modelling, soil hydrology, digital agriculture or similar area In-depth knowledge and experience in crop modelling, focusing on APSIM Experience in field data