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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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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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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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@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