14 phd-position-in-data-modeling-"Prof"-"Prof" Fellowship positions at University of New South Wales
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features in alloys, to aid future alloy design. The UNSW team, lead by A/Prof Patrick Burr, will provide the modelling contributions, and the team at USyd, led by Prof Julie Carney and Dr Ranming Liu, is in
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with international teams, as well as the UNSW research team, and supports the Data Core for the Cutting Alzheimer’s Risk through Endocrinology (CARE) Program. The position also contributes to the UNSW
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have: A PhD in Statistics and relevant work experience in developing risk prediction models for Alzheimer’s Disease and dementia through secondary analysis of biobanks and cohort studies. Evidence of
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, and PhD students conducting research focussed on ocean dynamics, connectivity, hydrodynamic model development and observing system design. The team are based in the School of Biological Earth and
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information regarding the responsibilities for this role, please refer to the Position Description at JOBS@UNSW. About You: We’re seeking someone with: A PhD in Education, Aboriginal and/or Torres Strait
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Research Associate. The Postdoctoral Research Fellow is required to carry out scientific research on an aspect of an ARC Discovery Project on “A Probabilistic Approach to Big Data-Based Industrial Process
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transition away from fossil fuels. For more information, please see the following link: https://www.unsw.edu.au/engineering/our-schools/photovoltaic-and-renewable-energy-engineering Skills & Experience: A PhD
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conduct independent research with limited supervision. Experience in data visualisation and analysis for large datasets viewed favourably. These positions may require you to attend clinical sites e.g
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do. If you want a career where you can thrive, be challenged, and do meaningful work, you’re in the right place. The School of Chemistry is internationally recognised for its excellence in research and
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managing the ethics and governance applications and processes, and liaising with the key stakeholders, applying for access to datasets, participant recruitment and involvement in other data collection and