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Field
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across molecular biology, ecology, bioinformatics, and environmental science. The taxonomic scope is broad and inclusive: we aim to collect comprehensive data across multiple taxonomic groups to support a
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of novel analysis approaches and the interpretation of the outputs from these analyses. The successful candidate will develop and implement bioinformatics pipelines to analyse thousands of bacterial and
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: (depending on previous eligible experience) at least: € 4.932,90 (payable 14 times per year) Responsibilities Scientific research in bioinformatics, genomics, and evolution of crop plants and their wild
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collaboration in research networks Your profile PhD in Bioinformatics, Computational Biology, Systems Biology, or a related discipline Experience in multi-omics data analysis and handling big data Experience with
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screens Apply a wide spectrum of genetic, molecular, and cell biology, biochemical as well as immunological, and bioinformatics techniques to study translational aspects of cancer (e.g., Cre/loxP and Flp
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hypotheses, identify suitable approaches, and carry out accurate and comprehensive documentation of all research and data Fluency in written and spoken English Merits: Experience in bioinformatics and/or
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sets. Importantly, the candidate will be required to use current and bespoke computational and bioinformatic pipelines to analyse these data sets, as well as possibly modify or develop their own
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epidemiologic methods for environmental ‘omics and related software packages, including R, SAS, Python or equivalent. Previous experience analyzing large DNA methylation datasets, bioinformatics, and use
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single cell transcriptomic data. Computational and bioinformatic skills. Experience in microscopy. Generation and analysis of mouse models. Handling of human samples. Molecular biology skills including
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- Nematode systematics and taxonomy The ideal candidate will have strong skills in experimental design, data analysis, and bioinformatics, along with excellent written and oral communication in English