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to the successful supervision of research higher degree students. Strengthen and develop relationships locally and nationally with internal and external stakeholders. Investigate expansion of the research program
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include: Research: Contribute to an innovative research program in quantitative genetics and genomics, collaborate on research projects, seek and manage research funding, publish in reputable journals
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practice. For at least the first three years, the appointee will lead and undertake a dynamic program of action research, centred on the curation and application of high-quality, evidence-based research from
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to climate, health, and environmental challenges. Strong candidates will have experience in ML algorithms, human-centered ML, or NLP. Supported by an ARC Future Fellowship and CSIRO-NSF project. Computational
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Oct 2025 - 00:00 (UTC) 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
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, or computational. The Experimental Petrology group at RSES is a world-leader in high pressure experimental petrology and the application of cutting-edge microanalysis to experimental products. Our strategic research
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Job Reference:1090838 About the Role These positions will contribute to the activities conducted nationally by the AAGI program – with a focus on statistics and biometry. The successful applicants
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independent and collaborative research, producing high-quality publications, and contributing to cross-disciplinary projects that integrate molecular biology with computational and AI-enabled analytical
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Apply now Job no:501594 Work type:Full time Location:Hobart Categories:Research Focused Undertake state-of-the-art research in Antarctic paleo ice sheet science Collaborate to build a new three-dimensional model of Antarctic glacial isostatic adjustment Full Time, 3.5 year fixed-term position...
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. Your expertise includes machine learning techniques such as Bayesian optimisation, and you’re comfortable working with experimental data, high-performance computing environments, and (ideally) thin film