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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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. 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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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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/experimental design & analysis of complex research data. Honesty and integrity The ability to take individual responsibility for planning & undertaking own work, according to clinical and scientific deadlines
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simultaneously. By doing so, the project uncovers key pathways and mechanisms in prostate cancer progression. This will be achieved by analyzing samples using spatial transcriptional and proteomic analysis in
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to specifically the area of measurements, analysis, and documentation of the GHGs (CO2 and CH4) from peatland established with sphagnum moss under controlled hydrology. After some years the upper part of the living
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scientific journals Research experience in some of the areas of fungal transformation, CRISP/Cas9 modification of fungal genes, analysis of metabarcoding data, and soil microbiology. Additional qualifications
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social science research methods, including qualitative methods (e.g. interviews, ethnographic methods, documentary and policy analysis). Excellent writing and communication skills, with experience writing
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@au.dk) Applicants must have a relevant PhD degree in biology, biogeochemistry, hydrology, glaciology, oceanography, geoscience or physics. Field experience, data analysis and programming (e.g., python
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engineering, data science, statistics, mathematics, physics or an adjacent subject, with focus on medical image analysis and/or deep learning. Furthermore, the following competences will be expected