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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview Elements preserved
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. Students should be open to interdisciplinary methods and capable of thinking critically and creatively about complex issues. Eligibility Applicants should have a first or upper second class honours degree in
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Australian police custody and young people. The project is a component of Dr Shelley Walker’s Australian Research Council (ARC) Discovery Early Career Research Award (#DE240101056 ). The National Drug Research
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in developing new machine learning methods for multimodal data and
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the diversity of aspartic proteases from the model plant Arabidopsis thaliana and deploy chemical synthesis, advanced modelling, protease biochemistry, mass spectrometry and structural analysis methods. A
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challenges to the electricity transmission and distribution system, as solar power is not dispatchable and therefore its incorporation as a major element of the generation mix requires the accurate prediction
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structural analysis methods. A detailed analysis of the consequences of this diversification will lead to an increased understanding of the polyphilic interactions in the active site of the proteases and would
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Class [2A] designation, or hold a master’s degree with a substantial research / thesis component. Existing qualifications must be in Marketing, Services management or a Cognate discipline.. Relevant work
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3D optical access for more advanced spectroscopy schemes. These vapor cells will be the core component in atomic gyroscope and magnetometer products being developed at Q.ANT. For fabricating
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 20 hours ago
-motivated and qualified candidates to work with an international team on developing cutting-edge novel demographic, statistical and computational methods in estimating, modelling and forecasting measures