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modifications using high-resolution mass spectrometry and AI-based de novo peptide sequencing. Develop and apply machine learning models to predict protease activity and substrate specificity, integrating protein
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altering species compositions and interactions. At the same time, environmental DNA (eDNA) sequencing has become an increasingly efficient approach for obtaining biological information. As part of a new
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altering species compositions and interactions. At the same time, environmental DNA (eDNA) sequencing has become an increasingly efficient approach for obtaining biological information. As part of a new
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members. You will collaborate closely with immunology research groups and external stakeholders to align the yeast engineering with direct applications and emerging needs in immunological research
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networks driving aging and inflammation using cutting-edge molecular and genomic technologies. The project integrates single-cell and spatial transcriptomics, epigenome and whole-genome sequencing, and
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National Food Institute. We are currently developing a massive web application for users world-wide to store and share their sequencing data as well as running bioinformatics pipelines to analyse and
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Food Institute. We are currently developing a massive web application for users world-wide to store and share their sequencing data as well as running bioinformatics pipelines to analyse and visualize
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consumers. You'll gain deep interdisciplinary experience—combining multiple data layers and approaches including bioinformatics, machine learning, food safety management, regulatory science, genomics and user
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susceptibility testing (AST). Provision of technical guidance and training on AST methods and whole genome sequencing (WGS) for organisms e.g. Escherichia coli , Campylobacter spp., and Staphylococcus aureus
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facilities (e.g., sequencing, proteomics and imaging) and extensive expertise in functional genomics, gene-regulatory mechanisms and cancer biology. This international, well-equipped, highly ambitious and