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/Chalmers University of Tcehnology. The student will gain experience across the structural enzymology pipeline, from substrate design to cutting-edge time-resolved crystallography, and will contribute
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bioinformatic pipelines and machine-learning approaches for genotype-based AMR detection and prediction, plasmid characterization, molecular typing, genomic epidemiology and One Health surveillance Independently
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develop the computational models and pipelines, and apply them to this data to get insights drivers of host-microbiome evolution. This PhD fellowship will be supervised by Assoc. Prof. Shyam Gopalakrishnan
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systems for pathogen genomic analysis, interpretation, and automated scientific reporting. Tool-using environments and AI systems that can interact with bioinformatics pipelines, databases, and scientific
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Doctoral Network funded by the Marie Sklodowska-Curie Actions (MSCA), dedicated to advancing innovative solutions for vibration and noise control in lightweight structures (https://cordis.europa.eu/project