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high importance to clinical psychology and psychiatry. Aims The aim of this PhD project is to enhance the understanding of alexithymia and its relationships to emotion regulation and mental health
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under 'Admissions' in PhD (Mathematical Science). Have a Master, first-class Honours or equivalent in one of the disciplines of statistics, mathematics, or data analytics/science. Excellent programming
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Are you passionate about energy efficiency and developing technology to reduce climate emissions? We are offering a fully funded PhD project with a tax-free stipend of $35,888 per annum for 3 years
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jianzhen.ou@rmit.edu.au for details Contact jianzhen.ou@rmit.edu.au for details Experiences in Materials Engineering, Electronic Engineering, and Photonic Engineering Experiences in Materials Engineering
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and functional T cell assays. The PhD candidate: The preferred PhD candidate will have completed an Honours or Masters degree in immunology, microbiology, bioinformatics, biostatistics or a related
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by an ARC DECRA project. The purpose is to support the PhD candidate to conduct basic research on “Applications of oxide materials for electrochemical water splitting and plastic degradation”. The key
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
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engineering, materials science, materials engineering, catalysis and/or electrochemistry are highly desirable. The candidate must meet minimum English language requirements and must be eligible to enrol in PhD
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any prior research and/or relevant work experience Curriculum Vitae Academic transcript Preferable background and/or previous experience or publications in materials science, modelling (across length
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to further Australia’s contribution to the international Square Kilometre Array (SKA) Observatory. The key science question being addressed in this PhD is closely linked to both the core scientific activities