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. Computing and analysis – Illustrator, Powerpoint, Excel, Word, ImageJ, HTML 9. Documentation – daily record of work performed in files and laboratory notebook Scholarship: 10. Contribute data and ideas
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Australia Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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outputs. The research methods will include experiment design, software implementation, running deep learning experiments on high-performance computing infrastructure, and evaluation using objective metrics
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/ coarse- grained approaches) Experience with enhanced sampling techniques; computational biophysics/chemistry Usage of high-performance computing clusters, preferably GPU-based computing Proficiency in
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work on plant genetics, growth strategies, and crop management with the aim of achieving optimal crop performance by integrating plant, environment, and management. The position offers close
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; experience analysing plant community composition, functional traits, functional diversity, ecosystem functioning or ecological stability; experience with remote-sensing products and cloud/geospatial computing
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, executing software, developing and running workflows. Knowledge of R. Familiar with high-performance computing infrastructure. Experienced in Nextflow/Cromwell or other pipeline tools. Able to critically
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. Design and optimize computational frameworks for high-performance simulation of reacting flows and battery safety phenomena on modern GPU architectures. Conduct research in related areas of battery
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, addressing practical challenges in flow distribution, heat and mass transfer, sealing, reproducibility and stable operation. Translate device concepts into CAD models and engineering drawings, and coordinate
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Python and experience working in Linux and high-performance-computing environments. Experience developing or using automated and reproducible computational research workflows. Ability to conduct