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computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput
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inflammatory pathways. The successful candidate will be analysing how these pathways alter in different dementia patient datasets aiding in understanding how inflammatory response differences reflect disease and
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biology experience with laboratory-based research (e.g., cell culturing, molecular techniques, bioinformatics, flow cytometry) ability to work independently and as part of a research team strong analytical
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and outside the project. Required educational backgroud A MSc degree in technical medicine, bioengineering, biomedical science, immunology, biotechnology, (bio)analytical chemisty, bioinformatics
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knowledge about how cells function by peering into their molecular components in time and space, from single molecules to native tissue environments. Your studies in Bioinformatics will be in the project
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This is an exciting opportunity to explore the role of complex microbial communities in promoting resilience and maximising yields in large scale algal bioreactors exposed to different environmental
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differences in ecologically and economically relevant life history traits are regulated at the molecular level. Variation in a key Atlantic salmon life history trait, maturity age, is strongly influenced by
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strong core facilities that offer state-of-the-art equipment and training in protein production, microscopy, proteomics, cytometry, genomics and bioinformatics. Activities and responsibilities
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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
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involves collecting clinical data on the effects of childhood cancer treatment, bioinformatically handling sequence data and developing prediction models, as well as conducting Single Cell RNASeq studies and