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biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of that change? Then join us in
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. The candidate should have strong mathematical skills and experience in machine learning, programming, and the analysis of visual data. Furthermore, you are able to work with a long-term perspective and drive
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methods for detailed analysis of different RNA molecules in blood samples and contribute to a new research field with strong clinical potential. What you will work on The successful candidate will be
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develop automated pipelines for segmenting and analysing X-ray computed tomography (XCT) images of titanium layers. This includes deep learning-based image analysis and the extraction of quantitative
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quantitative and population genetics; good knowledge and practical skills in genetic and genomic analysis (both, marker data and sequence data), phenology and plant pathology; a sound understanding of
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biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of that change? Then join us in
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. Research will have a strong focus on computational analysis or predictive modelling of pathogen biology or host-microbe systems for which multidimensional, genome-scale experimental data are now available or
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research is conducted on wild species, agricultural crops, forest trees, bioenergy crops, and model organisms. Our main research areas include genome analysis, the interactions between plants and
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, fundamental and strategic plant biology research is conducted on wild species, agricultural crops, forest trees, bioenergy crops, and model organisms. Our main research areas include genome analysis
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Job related to staff position within a Research Infrastructure? No Offer Description The Department of Physics at Umeå University (https://www.umu.se/en/department-of-physics/ ) conducts strong research