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will have a PhD, or be close to completing one, in a relevant discipline such as pharmacology, molecular biology, neuroscience, biochemistry, physiology or evolutionary biology. You will have experience
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collaborators where access, specimen design and image quality permit. Analyse longitudinal and group-comparison data using transparent and reproducible statistical workflows. Write scientific papers and a PhD
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Espen Eidum 30th September 2026 Languages English English English Faculty of Engineering Science and Technology PhD Fellow in AI-Automated Voltage Control for Future Distribution Networks Apply
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English Are you interested in assessment and development of mathematical skills and difficulties? Apply now! PhD Research Fellow in Special Needs Education Apply for this job See advertisement Job
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in computational molecular and materials science and nonequilibrium statistical mechanics. Key responsibilities will include: Research: Develop a coherent, quality research program focused
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
that the successful candidate will have, or be close to obtaining, a PhD in Statistics (or in a related discipline of relevance to the Discovery Project). For a successful candidate who has not already been awarded a
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• Possess a recognised PhD degree in statistical modelling of coastal processes, or a related discipline. • Strong writing and communication skills. • Having a good publication record is advantageous
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participant recruitment, data collection, data management, and research ethics compliance activities. Analyse survey, interview, behavioural, and system-log data using appropriate statistical and qualitative
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multimodality gastrointestinal, oncological, musculoskeletal and neurological imaging, as well as medical physics, statistical methodology, health economics, modelling, and health behaviour. The academic
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research infrastructure. Apply advanced statistical, machine learning and data engineering methodologies to large-scale, longitudinal datasets, contributing to innovative melanoma and skin cancer research