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and statistical analysis. Requirements PhD degree in population genomics, bioinformatics, applied statistics or a related area, or a foreign degree equivalent to a PhD degree in population genomics
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programming in R, Python, and mathematics/statistics. The main duties involved in a post-doctoral position is to conduct research. Teaching may also be included, but up to no more than 20% of working hours
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machine learning and other statistical methods.All work will be carried out in a collaborative research team, requiring the sharing of expertise, open discussion of results, and the facilitation
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. The candidate is expected to have a solid grounding in programming in R, Python, and mathematics/statistics. The main duties involved in a post-doctoral position is to conduct research. Teaching may
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Experience with serology and high-parameter flow cytometry Expertise in statistical and bioinformatic analysis of immunological datasets Experience with the development or use of viral infection models
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(ImageStreamX MkII), acquiring data and developing novel analysis strategies. The project involves project management, laboratory work, data analysis and statistical processing, and manuscript writing. Where
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. The computational work includes, for example, the analysis of omics data and computational modeling. Experience in cell culture, molecular cloning, and bioinformatics analyses is required. Proficiency in statistics
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of English is required, both in speech and writing. You should also have experience in handling viable blood cells and basic knowledge of scientific methodology and statistics. Furthermore, it is important to
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candidate will have a strong background in bioinformatics, statistics, and computational biology, with demonstrated expertise in statistical and bioinformatics software. The ability to thrive in a
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Resource Management conducts education and research in the areas of forest planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department