54 assistant-and-professor-and-computer-and-science-and-data-"U" Fellowship positions at The University of Queensland
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Quantitative Genetics, Statistical Genomics, Computational Biology, Plant Breeding, or a related field. Strong expertise in GWAS and post-GWAS analysis (e.g., fine mapping, gene network modelling, GWAS boosting
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available at https://clinical-research.centre.uq.edu.au/odesi About This Opportunity We are seeking a highly motivated Research Fellow to bring their expertise in Data Science and Machine Learning (ML
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position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About You Completion of a PhD in a field related to pain science (physiotherapy, psychology, medicine, other
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Alliance for Agriculture and Food Innovation (QAAFI). This is a unique opportunity for you to focus your efforts on developing your expertise and emerging research profile in advanced polymer chemistry in
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preparation workflows for downstream proteomics and metabolomics analyses. Generate high-quality experimental data and contribute to data interpretation and documentation. Assist in the design, development, and
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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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conventional models undervalue information, and then use this understanding to improve management recommendations across ecological contexts. You will help drive innovative approaches to generalise value
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assisted and interactively executed with the industry partner, with opportunities for collaboration and engagement within UQ and QUBIC. Key responsibilities will include: 1. Research Conduct research aimed
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modeller to help lead a collaborative research programme between the University of Queensland and King Abdulla University of Science and Technology (KAUST) with Prof David Suggett. Our shared goal is to
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. The successful candidate will develop computational tools for analysing gene expression (single cell, spatial) and metabolomic data in the context of cancer including melanoma and pancreatic cancer. You will lead