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skills including programming (e.g., bash, Python, R) and command-line interface in Unix/Linux environments - Experience with bioinformatics pipelines for DNA sequencing data analysis (e.g., variant calling
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complemented with bulk and single cell RNAseq data from relevant tissues to investigate T2D pathogenesis and its early life programming. Read more about the research here (https://portal.research.lu.se/en
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., Kubernetes) and deployment on heterogeneous or resource-constrained systems. Understanding of hardware acceleration techniques involving GPU and FPGA integration. Experience with Linux environments
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analysis in medicine. Experience of software version control with Git, typesetting with LaTeX, use of Linux computers; Experience with graph-based methods, and graph convolutional/neural networks; Experience