115 parallel-computing-numerical-methods positions at University of Adelaide in Australia
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herbicide and antimicrobial resistance that threatens the global agricultural and health industries. This exciting project will draw on parallels with drug resistance to investigate a new molecular mechanism
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Health and Medical Sciences building on North Terrace. This role is critical to the delivery of the Human Biology and Biodental sciences curriculum for the Bachelor of Dental Surgery Program (BDS) and
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computer vision and machine learning research group in Australia -- and contribute to world-leading research projects at the CommBank Centre for Foundational AI This postdoctoral research position is part of
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. Very good organisational and management skills. Advanced analytic and computational skills, including the demonstrated ability to perform numerical and symbolic calculations. Senior Lecturer (Level C
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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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responders and operational risk assessment regarding skin decontamination and will build on a program of work focused on dermal exposure to chemicals. To be successful you will need: Completion of a PhD in
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experiments and take an active role in advancing the statistical methods employed at the Plant Accelerator® . The appointed individual will support plant scientists using our services to address a diverse range
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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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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