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Field
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The ideal candidate will have strong skills in experimental design, data analysis, and bioinformatics, along with excellent written and oral communication in English. Experience working with C. elegans
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• Development of a comprehensive chemical standards database • Bioinformatic/chemometric metabolite ID through online resources • De novo identification and structural assignment of metabolites and natural
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and metabolic adaptation Identify and characterize miRNA target genes and regulatory networks using complementary molecular and bioinformatic approaches Integrate epigenetic, transcriptomic and
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; - Proven experience in molecular biology techniques, clinical pathology, and translational research with human samples; - Basic knowledge or high motivation to work in bioinformatics and omics data analysis
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the development and progression of chronic diseases; (b) strong statistical analysis skills, including but not limited to usage of bioinformatics tools or pipelines; and © experience working with human clinical
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and museomics Strong bioinformatics skills Proficiency in command-line scripting and programming Knowledge of phylogenomics and population genetics Why conduct a postdoctoral project at the University
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aligned to these values and are looking for a Postdoc Research Associate – Computational Biology who has: a PhD in bioinformatics, computational biology, systems biology, or a related discipline strong
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statistics/biostatistics, computer science, bioinformatics, or other related disciplines is required. Strong interest, research background and experience in the methodology research in statistical genomics
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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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genetics, with strong bioinformatics/quantitative skills (e.g., in the analysis of NGS data). The work will involve the analysis of archival biological material from past experiments and ongoing