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the use of regional- to global-scale EarthBank datasets in numerical geoscience modelling via the platform Application Programming Interface (API) and command line scripting. The new node will build
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research group. The successful candidate will be expected to make a vigorous contribution in one or more of the following research areas and contribute to the supervision of PhD and MRes research students
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 3 hours ago
required. Who You Are (skills and experience): A PhD in chemistry, physics, materials science or a related discipline, and/or relevant work experience. Demonstrated expertise in density functional theory
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approach to evaluating and managing multi-stressor impacts within these urbanised estuaries. The successful applicant will build on their expertise in marine seascape ecology, simulation modelling and large
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interventions). They will also assist in research project administration and reporting, data analysis, and actively contribute to research outputs and grant applications. Key skills required: (Level A) PhD in
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scientific discovery. You will join a supportive, collaborative and productive research environment that encourages independence and fosters career development. Some key skills required: A PhD in immunology or
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through in silico, activity and structural screening. support, train and supervise junior members of the team, including undergraduate students and PhD candidate, working in biological chemistry disseminate
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the use of regional- to global-scale EarthBank datasets in numerical geoscience modelling via the platform Application Programming Interface (API) and command line scripting. The new node will build
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strategies. Key skills required: A PhD in a related discipline, and/or relevant work experience. Proven commitment to proactively keeping up to date with discipline knowledge and developments. Demonstrated
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) A PhD in a related discipline, and/or relevant work experience. Skills in programming or scripting, sufficient to develop or modify codes used for data analysis and for materials modelling