44 computer-algorithm-"EURAXESS" Fellowship positions at The University of Queensland in Australia
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team to drive innovation in plant breeding. Key responsibilities will include: Research: Conduct and publish high-quality research, develop a coherent research program, and actively pursue competitive
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Performance . About You The successful candidate will play a key role in the development and validation of computational tools that integrate spatial transcriptomics, algorithmic methods, and machine learning
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classical-quantum algorithms for strongly correlated materials. Key responsibilities include: Research: Establish a research program, collaborate on research projects, seek and manage research funding
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School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position for up to 2 years Base salary will be in the range $82,057.75 - $109,246.18 + 17% Superannuation (Academic
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of classical and hybrid classical-quantum algorithms for treating the correlations. This position offers exciting opportunities for collaboration within UQ, across the QDA network, and with external research
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-based hail climatology for France, Switzerland and Northern Italy, including hail swaths per event across more than a decade. Design, develop and train geostationary satellite-based hail algorithms using
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to joint research projects and funding applications, and help develop an emerging research program with real-world impact. Translate discovery into change by publishing in high-quality journals, engaging
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on clusters and high-performance computing infrastructure), Information Retrieval methods, Machine Learning algorithms, wrangling large-scale datasets, and showcasing the research results. The ability to work
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advanced computational and genomic approaches. The successful candidate will work as part of a funded research project that integrates metagenomics, k-mer–based methods, and artificial intelligence
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your work will be developing the citizen science program, enabling diverse communities across Australia to contribute data about their experiences with digital platforms, shaping the future of platform