125 parallel-computing-numerical-methods positions at University of Adelaide in Australia
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metapopulation and/or individual based models Knowledge of Bayesian methods, including Approximate Bayesian Computation Experience with big data analysis and HPC environments Knowledge of additional programming
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to developing research protocols, preparing manuscripts, and analysing data using statistical methods, turning results into meaningful insights. You’ll also have the chance to present findings through reports and
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to manufacture advanced fertilisers. The project will include development of flowchem synthesis core-shell bio-mineral fertilisers methods. Fertilisers to be tested include leached regolith minerals. A
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upcycling of spent metal oxide cathodes, particularly, high Ni-containing oxides, through chemical-mechanical approaches, ionothermal/molten salt methods, etc. Project 2 (2 PhD students): Direct Recycling
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on the socio-cultural history of the Greek and Roman worlds. The eight-course major offers introductory topics in archaeological and historical methods, Classical and Australian archaeology, laboratory
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actions working on causal AI for a changing world. The AIML at the University of Adelaide is the largest computer vision and machine learning research group in Australia with over 180 members including
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-year stipend scholarship to support pioneering research on wave energy converters. The successful candidate will work on cutting-edge experimental design and numerical modeling to better understand
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. Experience working effectively within a team. High level computer skills, including experience with the Microsoft Office suite of applications. Demonstrated ability to promote the organisational values
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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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. The successful applicant will work on decision making for anomaly detection, behaviour analysis and surveillance decisions, under the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical