37 parallel-and-distributed-computing Fellowship positions at The University of Queensland in Australia
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for a National Intelligence Discovery Grant (NIDG) project, in collaboration with researchers in the School of Computer Science and Electrical Engineering who are focusing on antenna design. It is
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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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translation and commercialisation. Develop a coherent research program and apply best-practice methodologies. Supervision and Researcher Development: Support and supervise Honours and Higher Degree by Research
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Opportunity Our School of Psychology is one of the most prestigious schools of psychology in Australia, with a thriving and dynamic research profile in Cognitive and Computational Psychology. This is an
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technologies that support decarbonisation and clean energy goals. The successful applicant will contribute to the computational modelling and design of Prussian blue analogues, spin-crossover metal-organic
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and emerging research profile in biotechnology and biopolymers. You will work with Professor Steven Pratt and other CI’s on delivering against the research objectives of Research Program 1.3
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the development and implementation of the Living Systematic Review program as part of the National Allergy Centre of Excellence (NACE). This is a unique opportunity to shape national research in food
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project focused on developing a digital twin of a poultry breeding program. The project aims to investigate novel prediction technologies and alternative breeding program designs to create and prioritise
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their potential for antibiotic production. Key responsibilities will include: Research: Establish a research program, collaborate on research projects, seek and manage research funding, publish in reputable
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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