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resilience of bridges under climate change-induced hazards such as flooding, scour, and debris impacts. The research aims to develop advanced numerical models and machine learning tools to predict loads
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combine intracranial electrophysiological recordings in humans with behavioral experiments and advanced analytical approaches, including machine learning and statistical modeling. It has two main objectives
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1-year fellowship in Shoebill Conservation Genetics with support for a further 3-year PhD fellowship
biology, or conservation completed before 31 July 2026. In addition to an interest in evolutionary and conservation biology, the candidate should be committed to doing field work, wet-lab work, learning
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to: compositional multiphase reservoir simulation upscaling or screening methodologies optimization of well positions and control strategies economic assessments machine learning or proxy-model based methods field
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that the Research Fellow will acquire. Access to career guidance will be provided throughout the doctoral education. Research topic The PhD Fellow will join the research group in risk management and societal safety
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studying for a doctoral degree in the arts, science, law, commerce or agriculture. Availability Available to New Zealand Citizen or Permanent Resident Students Our website uses tracking technologies to learn
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on our website. The appointment is for three years with research duties exclusively. A career plan will be prepared that specifies the competencies that the Research Fellow will acquire. Access to career
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duties exclusively. A career plan will be prepared that specifies the competencies that the Research Fellow will acquire. Access to career guidance will be provided throughout the doctoral education
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contribution to research and development in IT, and in 2010 he was awarded Fellow of the Australian Computer Society. Throughout his career, Adrian’s visionary thinking, entrepreneurial spirit and unwavering
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Availability Available to New Zealand Citizen or Permanent Resident Students Our website uses tracking technologies to learn how our visitors interact with our site so that we can improve our services and