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Field
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The responsibilities may include some but not all of the responsibilities outlined below. Design and conduct bioinformatic data analysis pipelines under the guidance of the research supervisor to test the project
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team is seeking a highly motivated candidate with skills and understanding in antigen presentation utilizing bioinformatics tools to be applied to vaccine development utilizing viral vectors
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to grant proposals, and present findings at international conferences. What you bring: PhD (or near completion) in Bioinformatics, Computational Biology, Data Science, Statistical Genomics, or related field
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population genetics, bioinformatics, computational biology, statistics or probabilistic machine learning and computer science. Experience of working with large genotyping or sequencing data sets A proven
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, statistical genetics, genomics, genetic epidemiology, and bioinformatics as well as in-depth knowledge of genomics and relevant software. The candidate will be required to demonstrate relevant research and
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of this program is to discover clinically relevant candidates that can be fast tracked for clinical development. The lab uses a combination of bioinformatics, biochemistry, animal modelling, Crispr screening and
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metabolism. Key Responsibilities Lead metagenomic, proteomics, and metabolomic profiling of clinical and experimental samples to identify dysbiosis signatures. Apply bioinformatics tools for microbiome data
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Requirements: a)Holders of a Bachelor’s degree in Biomedical Sciences, Medicine, Pharmacy, or related areas. b) Desirable skills: 1. Knowledge of biomedicine and bioinformatics; 2. Practical and theoretical
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Australia's sovereign mRNA capability and international competitiveness by building scalable, high-impact bioinformatics pipelines that can support academic and commercial users of the platform. Key
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this, we integrate mouse genetics & in vivo imaging, CRISPR gene editing, single-cell and spatial transcriptomics, high-content imaging & bioinformatics, electrophysiology & disease modeling Our lab culture