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-structure noise and rapid regime shifts. Integrate real-time data streams. You will experiment with heterogeneous inputs like tick-level prices, news sentiment, order-book depth, macro indicators and
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the industry partner. A structured professional development and training program to develop your applied research skills. Successful students are subject to the policies, procedures and guidelines
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. Fixed term, full time position available for 2 years with a possibility of extension. About the project: We are seeking a highly motivated Structural Biologist to lead projects aiming to understand
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the industry partner. A structured professional development and training program to develop your applied research skills. Successful students are subject to the policies, procedures and guidelines
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
of the Bacterial Cell Envelope – From Molecular Structure to Metabolic Function: The cell envelope is the interface between a bacterial cell and its environment. MACSYS is currently modelling the structure and
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stable operation under reactive capture conditions. Unravelling reaction mechanisms and catalyst structure-performance relationships using advanced characterisation techniques and computational tools
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North Queensland. Research projects are developed in collaboration between the successful applicant and their supervisor, and potential topics include: deep Earth structures, crustal mineralisation
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ADMISSION to HDR Those who apply for the scholarship opportunity that have not already applied for admission to a relevant HDR must also apply. Instructions on how to apply for admission can be found here: https://www.flinders.edu.au/study/apply/apply-research-degree/how-to-apply By lodging...
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methods that could accelerate the commercial adoption of printed solar and enable its use on structures that can’t support conventional panels. This is an exciting opportunity to contribute to the next
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learning by using Bayesian learning principles. Among other things, Bayesian learning gives AI systems the ability to quantitatively express a degree of belief about a prediction or statement. By bridging