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to handle the massive amounts of data generated by novel high-throughput scMetaG methods. Here, the PhD student will develop novel bioinformatic methods and tools, which can be used to analyze massive amounts
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complex biological processes. This project combines timely analytical challenges with deep rooted applications in life science. We are looking for a candidate with a PhD in either engineering/computer
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. Selection criteria Essential PhD in computational biology, bioinformatics, or computer science with a focus on human gut microbiome data Excellent written and oral English communication skills. Significant
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promising properties. The project could be combined with experimental work if this is a fit for the applicant. Your profile To be eligible for employment as a postdoctoral researcher, a PhD or a foreign
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Management of datasets for FAIR compliance and AI/ML-based discovery Contribute to multi-modal data integration Eligibility requirements PhD in Computational Biology, Bioinformatics, Systems Biology, or a
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. You are structured, like to collaborate and communicate well with others in a responsive and flexible way. The following education, experience and expertise are required: PhD in a relevant subject e.g
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bioinformatics, data management and IT to join our national research infrastructures. As a key infrastructure expert, you will have a central role in connecting our user communities and to develop new data
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Wählby’s research group. Requirements You must have a PhD degree within digital image analysis/image processing or similar, or alternatively in bioinformatics/biomedicine/biology or similar. Documented
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the lab and bioinformatic/statistical analyses of next-generation sequence data. The project will be conducted in collaboration with Prof. Göran Arnqvist (Evolutionary Biology Centre, Uppsala University
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antibody production, as well as NBIS (National Bioinformatics Infrastructure Sweden). The department hosts a unit within Display and Selection Technologies, which is part of the national research platform