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: Experience with SQL, PySpark, and cloud-based data tools such as Azure Data Lake, Synapse, or Fabric; and strong command of data wrangling, cleaning, and large-scale dataset management. Machine Learning/Deep
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26 Nov 2025 Job Information Organisation/Company UNIVERSITY OF WESTERN AUSTRALIA Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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the ‘Accurate projections of climate recovery from a combination of historical data, simple models and AI’ Future Leaders Fellowship project, which seeks to develop new modelling methods that combine historical
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background or training in psychological or clinical mental health sciences. Teaching is integral to the work of the Institute. We have a large portfolio of master’s level and undergraduate teaching in global
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with the capability to centrally coordinate multi-centre clinical trials (i.e. having overall responsibility for the design, development, recruitment, data management and analysis of trials) with robust
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or large-text assessments. The Postdoctoral Fellow is expected to contribute to cross-disciplinary publications in the CH-CYCLE project. See more information about the project here: Renewable energy-driven
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footprints, shorter travel distances, and stronger local communities. These models underpin urban development strategies and regulations and are now applied almost universally—in large and small cities alike
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of an agent-based model for Brazil The post-holder must have a postgraduate degree, ideally a doctoral degree, in a relevant topic and will have expertise in analysing large quantitative datasets and in
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Job Description The Centre for Machine Learning within the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark
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strong command of data wrangling, cleaning, and large-scale dataset management. Machine Learning/Deep Learning: Experience with PyTorch, TensorFlow, or Hugging Face; embedding models; and model validation