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peer-reviewed publications, while providing senior-level expertise to support and mentor internal teams. A vital responsibility includes guiding emerging science-practitioners (Clinical Psychology PhD
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temperature, flux rate, surface coverage, plasma composition and excitations. The seeding process of a new layer in heteroepitaxy requires large-scale surface modelling with accurate force-field parameters
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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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experience using Python machine learning and large language models. Experience in machine learning and NLP for automated misinformation detection, social media data scraping and analysis, and human annotation
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
. This position is a fixed term appointment for a period of 2 years. Research Fellow – Electrocatalysis for Hydrogen Production Material Scientist or Chemical/Electrical Engineer - Catalysis Open to PhDs in
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we are looking for (Selection Criteria): Essential: A PhD (or near completion) in geochemistry, geology, data science or a related discipline. Demonstrated knowledge of, or strong interest in critical
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of Australia’s nuclear technology sector. For more information please visit - https://www.unsw.edu.au/research/nuclear-innovation-centre Skills & Experience A PhD in a related discipline, and/or relevant work
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of equity, diversity and inclusion. Desirable characteristics: Experience in large data sets and their platforms/tools, cloud-based architectures, and deployment frameworks for machine learning algorithms
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an opportunity for a Postdoctoral Fellow. You will contribute to UNSW’s research efforts in developing machine learning and deep learning algorithms for dynamic systems (sequential or time-series data). Experience
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using statistical analysis. Experience in project management and working on field projects in the parenting field, and/or experience in working on large scale projects using administrative data. Relevant