4 computational-physics-simulation Fellowship positions at The University of Queensland
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research projects funded by the NCYSUR through the Australian Government, Drug and Alcohol Program. The successful candidate will contribute to high-quality research on addiction, with a strong focus on
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genetic variation into elite germplasm. This will require the integration and optimization of several technologies, including genomics, machine learning, genetic simulation, and speed breeding. This is a
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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
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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