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in Unix/Linux environments - Experience with bioinformatics pipelines for DNA sequencing data analysis (e.g., variant calling, quality control, data processing) Strong track record as evidenced by one
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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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., 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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handling large datasets Bash / Linux knowledge good experience of English in both spoken and written form self-motivated, perseverance, collaborative, structured, independent, creative, analytical and/or
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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
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techniques involving GPU and FPGA integration. Experience with Linux environments, distributed systems, and cloud platforms. Ability to work independently, collaboratively, and across disciplinary boundaries
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single-cell RNA-seq data (specifically, on remote Linux-based computational clusters). The successful candidate will possess a good grasp of statistical analysis and complex data visualization, and