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, bioinformatics, and microbiome science to generate analyses that can change how we understand and ultimately prevent disease via the oral ecosystem. The two year long postdoctoral project is financed by the Kempe
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requirements are mandatory: A doctoral degree or an equivalent foreign degree in computer science, mathematics, statistics, bioinformatics, chemistry, or equivalent. This eligibility requirement must be met
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, led by professor Isabel Goncalves and associate professor Andreas Edsfeldt, consists of postdocs, doctoral students, bioinformatics and laboratory engineers with both clinical and preclinical
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level in computational biology, physics, applied mathematics, computer science, bioinformatics, structural biology, or a related subject or completed courses with a minimum of 240 credits, at least 60 of
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are eligible for the positions. This includes but it is not limited to Economics, Sociology, Political Science, Psychology, Demography, Statistics, Statistical genetics, Bioinformatics, etc. The PhD is to have
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efforts to move the technology’s capabilities towards that of conventional digital data storage by developing and adopting existing bioinformatics tools for data encoding, decoding and error correction in
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to disease. You will join a collaborative team working at the intersection of genetics, epidemiology, bioinformatics, and microbiome science to generate analyses that can change how we understand and
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circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. The doctoral degree should be in computational/systems biology, computer science, bioinformatics
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-scale or multi-site ecological studies. Familiarity with bioinformatic or statistical analyses of metabarcoding data. Experience from working in interdisciplinary research environments. Application
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on bioinformatics analysis of spatial gene expression data as well as other modalities (i.e. microbiome; metabolites, proteins) generated using the Spatial Transcriptomics (ST) method, Spatial metaTranscriptomics