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implement bioinformatics tools and workflows to process and analyze multi-omics datasets, enabling insights into complex genomic changes. They will facilitate projects in collaboration with local and
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terms of stem and progenitor cell and lineage reprogramming. Studies are at the cellular and molecular level using novel molecular and imaging methodologies to understand processes and cell interactions
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bioinformatics analysis and Drosophila work would be desirable but not necessary. This position will be supervised by Prof Hansong Ma in the School of Biosciences at the University of Birmingham. Main Duties
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parallel using our robotic platforms. The Australian Genome Foundry is capable of synthesizing complete eukaryotic chromosomes and consists of modular robotic platforms capable of automated construction and
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foundation in fundamental biofilm research, microbial community assembly and manipulation, and biofilm reactor operation is essential. Experience in metabolic engineering is desirable. The successful candidate
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Medicine and Bioinformatics. The specific objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms
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Medicine and Bioinformatics. The specific objectives of the project are to (i) develop mathematical and data analysis methods to analyze resilience, robustness, and tipping points of network dynamics, when
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postdoctoral researcher will perform independent and directed research to achieve the objectives of the research project within the Department of Computational Medicine and Bioinformatics. The specific
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experience: Essential criteria PhD awarded in genetic epidemiology, statistical genetics, bioinformatics or related discipline Postdoctoral research experience in genetic epidemiology, statistical genetics
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employment). Extensive experience in handling and analysing large-scale genomic datasets. Demonstrated experience in developing bioinformatics pipelines and computational workflows. Track record