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Full time fixed term until 31 May 2027 Advance your research career in pathogen genomics and bioinformatics Base Salary $89,831 - $113,400 + 17% superannuation About the opportunity We are seeking a
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will integrate bioinformatic tools, laboratory research, glasshouse experimentation, and field trial work to identify and validate genes associated with grain yield, plant biomass, and other key traits
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 hours ago
experience in statistics, data science, machine learning, bioinformatics, quantitative biology, or closely related fields. Candidates must possess strong scientific programming skills, demonstrated experience
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expertise: Bioinformatics experience A PhD student with bioinformatics experience will generate and analyse complex microbiome sequence data to complement existing rumen microbiome datasets. Via multi-omics
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methodologies to investigate live cell responses to electrical stimulation with high spatial and temporal resolution. The Research Fellow will design and implement advanced bioinformatics pipelines to interrogate
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methodologies to investigate live cell responses to electrical stimulation with high spatial and temporal resolution. The Research Fellow will design and implement advanced bioinformatics pipelines to interrogate
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predictive modelling in biomedical, clinical, or bioinformatics contexts. A strong Computer Science foundation with experience or interest in biomedical applications and improving human health is essential
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demonstrated experience in bioinformatics and/or advanced statistical analyses (e.g. Python/R, Linux environment). Evidence of capacity to problem-solve and troubleshoot independently, with a solutions-focused
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extracellular vesicles for predicting and monitoring response to immune checkpoint blockade in melanoma and lung cancer. Desired skills: It is expected that a suitable candidate has a background in bioinformatic
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predictive modelling in biomedical, clinical, or bioinformatics contexts. A strong Computer Science foundation with experience or interest in biomedical applications and improving human health is essential