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Field
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area, such as ecology, computational biology or bioinformatics. Please note: To be eligible for this role you must have no more than 3 years (full-time equivalent) of relevant postdoctoral research
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between-sample variability and optimise the reliability of downstream quantification estimates from eDNA data. Establish sampling, laboratory, or bioinformatic methods, in conjunction with new sequencing
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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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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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on large-scale consortium datasets and the EHR-linked Vanderbilt Biobank (BioVU). He/she will work in a team environment. He/she will apply existing genetics, statistics, and bioinformatics tools. A primary