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in genomics/epigenetics/stem cell biology; experience with tissue culture and NGS/CRISPR • Facilities: Advanced genomics, bioinformatics, imaging, and flow cytometry, plus collaborations across
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services staff and researchers. What we’re looking for: A degree level qualification in a relevant area (e.g. IT, Computer Science, Bioinformatics, Statistics) with subsequent relevant experience
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, Biomedical Engineering, Bioinformatics, etc.). experience with data analysis in biological or clinical contexts. proficient in programming languages, specifically Python and R, with additional experience in C
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existing groups (e.g. Systems Genomics), bioinformatics core team, and international partnerships with the Universities of Cambridge and Oxford. The successful applicant will develop and lead their own
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, offering hands-on experience with cutting-edge techniques in molecular biology, bioinformatics, and data analysis—an ideal environment for early-career researchers eager to make an impact. Life at Flinders
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compounds that target bacterial cell wall biosynthesis. As a Postdoctoral Research Fellow, you’ll collaborate with leading experts in natural products chemistry, microbial genomics, and bioinformatics. Your
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(CRISPR screens, Chromatin IP, ATAC-seq) and cellular biology (cell death mechanisms, immunology), and experience with animal models and organoid cultures. Position 3 will focus on Bioinformatics
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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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Australian National University | Canberra, Australian Capital Territory | Australia | about 7 hours ago
postdoctoral researcher with: A PhD (or near completion) in Computer Science, Computational Biology, Mathematics, Bioinformatics, or a related discipline. Proven expertise in machine learning and algorithm