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Field
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databases and genome-scale metabolic models. Additionally, this fellow will develop robust error-checking and validation mechanisms to minimise misinterpretations. Applicable legislation and regulations
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propulsion system performance, including hybrid-electric configurations, and associated flight envelope limits. Gaining experience in the evaluation of aircraft mission performance using modeling and
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modeling of molten salt reactors and support the development of chemistry-specific digital twins of molten salt systems. In this position, you will report directly to Dr. Shayan Shahbazi and Dr. Kevin Clarno
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to perform in-depth and critical data analyses and, where relevant, data modelling. Ideal candidates will possess: Completion or near completion of a PhD in environmental chemistry, analytical chemistry
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the field. Ability to perform in-depth and critical data analyses and, where relevant, data modelling and visualisation through the use of statistical software relevant to the Position applied. Ability
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tools. Processing of collected data; Implementation of Machine Learning; Development/implementation of the model prototype in the digital solution (app/platform) to support the clinical trial
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at the Melbourne Centre for Nanofabrication (MCN). This role offers a unique opportunity to work on pioneering platforms that are transforming how we model human physiology and accelerate therapeutic discovery. In
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for biosystematics (e.g., HTS data handling and analysis) and ecoinformatics (e.g., distribution modelling using R) • Field work in the tropics • Experience in chromosome cytology and/or morphometrics
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of Engineering and contribute to industry-engaged research in construction materials and modelling. This role offers a rare opportunity to work across laboratory experimentation, scaled-up prototype testing, and
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Completion or near completion of a PhD in the discipline area (molecular biology, immunology, cancer research, pharmaceuticals). Experience in animal models of disease. Evidence of publications in reputed