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regulatory networks that are active in blood cells in health and disease. The successful candidates will have a PhD in Bioinformatics, Computational Biology, Biostatistics or in a related quantitative field
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mentoring students. Qualification requirements The ideal candidate has: A PhD in bioinformatics, computational biology, biostatistics or metabolomics Proven expertise in omics data analysis A history of high
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to chart and understand the gene regulatory networks that are active in blood cells in health and disease. The successful candidates will have a PhD in Bioinformatics, Computational Biology, Biostatistics
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expertise in soil microbial ecology, horizontal gene transfer, and metagenomics. • Proficiency in biostatistical analyses and hands-on experience with metagenomic sequencing techniques. • Strong English
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Degree or equivalent Skills/Qualifications A PhD degree from a relevant field including bioinformatics, computational biology, biostatistics or similar. Experience in analysing and interpreting large omics
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involved in various project activities. When evaluating applications, the following qualifications are expected: A PhD degree within a relevant field (such as biostatistics, data science, or statistics) In