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and apply machine learning and deep learning models to analyse complex, multi-dimensional datasets, including spatial transcriptomic, proteomic, and single-cell sequencing data. The candidate will
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. "Studying the origin of the new discovered class of weak CN stars in the Magellanic Clouds using stellar variability" "How do stars merge? Studying the merger between low and intermediate-mass main-sequence
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expertise: Bioinformatics experience A PhD student with bioinformatics experience will generate and analyse complex microbiome sequence data to complement existing rumen microbiome datasets. Via multi-omics
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and 2 Demonstrated experience in microbial laboratory techniques (e.g. cultivation, DNA/RNA extraction, qPCR, sequencing workflows), and capacity to work in PC2/BSL-2 laboratory environments and follow