126 parallel-and-distributed-computing positions at University of Adelaide in Australia
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the forefront of cancer systems biology, uniquely combining computational and predictive modelling with experimental approaches to tackle major challenges in cancer treatment. Our innovative research spans from
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contribution of 17% superannuation applies. Fixed-term, full-time position available for 2 years. We are seeking an ARC Grant Funded Researcher to focus on the computation of carbon based materials for clean
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semester 2, 2025. Applicants must be awarded a Research Training Program Scholarship or University of Adelaide Research Scholarship to be eligible for this supplementary scholarship. Stipend: The scholarship
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Computer Science, Electrical Engineering, or a related field. A PhD is highly desirable; candidates with a master’s or bachelor’s degree must demonstrate equivalent research or industry experience. Strong
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agricultural research and innovation. Key Responsibilities: Conduct research in remote sensing, plant phenotyping, and computer vision, with a strong emphasis on multi-modal image processing. Develop and
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This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong
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award, applicants must: be an Australian citizen, Australian permanent resident, New Zealand citizen, or a Permanent Humanitarian visa holder. be enrolled in a PhD or Master of Philosophy program in
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the EEE discipline: Information Systems, Control, Autonomous Systems, and Computer Engineering: Information systems and science, communications, control and dynamics, robotics and automation, artificial
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, or international student; be enrolled in a PhD program in the Faculty of Health and Medical Sciences the field of medicine known as nuclear medicine; or a field of academic study where a substantial component of the
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. Eligibility: To hold the award, applicants must: be an Australian citizen or Australian permanent resident be enrolled in a PhD program or Master of Philosophy, undertaking research in the area/s of obstetrics