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experiments. Data & Analysis: • Collaborate with data scientists to analyze host and microbial data using statistical, bioinformatic, or machine learning approaches. • Contribute to the integration of spatial
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requirements Master’s degree/subject at second degree level (120 credits/ECTS) in pharmacy, biomedicine, bioinformatics or similar. In order to gain admission to the PhD programme at the Faculty of Health
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Biology, Biostatistics, Bioinformatics, Computer Science, Data Science, or related discipline. * At least 1 year of experience in bioinformatics research. * Quantitative training with good understanding
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of relevant bioinformatics from laboratory work In order to gain admission to PhD programmes at the Faculty of Health Sciences, applicants must have achieved a grade of B or better in their master’s thesis
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Desirable experience and skills: Experience with bioinformatics FELASA certification for mouse experimental work Interest in evolutionary biology You have an interest in symbiotic microorganisms About Globe
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in additional aspects of biology, bioinformatics and genomics required for successful completion of the programme. The ability to work as part of a team, an interest in industrially focused research
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, genomics, bioinformatics, microscopy, NMR, X-ray crystallography, cryo-EM, flow cytometry, metabolomics, lipidomics and proteomics are readily available on campus. Substantial resources for field-based
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vivo human tissue studies and in vivo rodent modeling. Expertise in human genomics, biology of neuronal and glial cell types, and computational and bioinformatic skills required for genomics data
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-cancer pharmacology Experience working with large datasets Experience with bioinformatic approaches, including the analysis of next-generation sequencing data sets Experience with CRISPR-based approaches
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editing Molecular biology and bioinformatics/analysis of next generation sequencing data sets Analyzing genetic mouse models and analyzing xenograft/orthotopic mouse models Various injections in vivo