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Field
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imaging. Bioinformatic experience/expertise is critical. The project is part of an integrated team effort involving academic and biotech laboratories across the UK and Australia. The successful candidate is
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to completion) in a biomedical, bioinformatic or relevant subject. You must have a strong bioinformatic, analytical and programming skills, applicable or multi-omic or spatial data. You need to have a strong
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prognostic approaches are limited and show high interobserver variability. It is essential that you hold a PhD/DPhil (or close to completion) in a biomedical, bioinformatic or relevant subject. You must have a
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, Biomedical Engineering, Pharmaceutical Sciences, Immunology, Bioinformatics, Computational Biology, Chemistry, or a related discipline. Experience in one or more of the following areas is highly desirable
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School of Life Sciences Zhengzhou University | Science Education Center, Gauteng | South Africa | 3 days ago
of Bioengineering, it adopted its current name in May 2013, and currently has four undergraduate programs, namely Biotechnology, Bioengineering, Bioinformatics, and Plant Science and Technology. It also houses one
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models of infection. Experience with bioinformatics tools for data analysis. Track record of scientific publications and conference presentations. Accompanying Knowledge, Skills, Abilities and Competencies
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within the Department. Experience of working collaboratively within multidisciplinary research teams is desirable. Experience in bioinformatics and the analysis of next-generation sequencing data would
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advanced bioinformatic analysis; c) excited to work at the interface of human cohorts with robust epidemiologic and long-term outcomes with experimental systems; d) aim to transition to independent
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troubleshooting new assay designs, and applying omics technologies (e.g., genomics, transcriptomics, etc.) and bioinformatic analyses for the identification of unique targets that can be incorporated into rapid
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-based experiments, culture assays and molecular work, multi-omics techniques, and establishing bioinformatic pipelines for data analysis. The ideal candidate will demonstrate the ability to integrate