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brain tissue samples. Developing and managing REDCap databases, ensuring clinical data quality, integrity and compliance requirements are maintained. Preparing, submitting and managing complex human
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than ever before. HASS disciplines offer the tools to unpack the social and ethical complexities of AI and how these shape policies that are not only effective, but are also just and inclusive. Up
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inform or design future experiments. As a researcher in my group, you would not only develop imaging theory and analysis tools to answer science questions about where the atoms are, what they are, and how
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interacting with these systems, including difficulties understanding eligibility requirements, producing relevant documents, and navigating complex administrative processes. The PhD project will generate in
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and design will be developed with the successful candidate. Both qualitative and quantitative methodologies may form part of the PhD including co-design, thematic analysis, single case experimental
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AI infrastructure. The Opportunity This is an unprecedented opportunity for an outstanding data science and AI PhD candidate interested in brain data analysis and AI, supervised by Dr Mahsa Salehi
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) Coatings for Increased Nutrient Use Efficiency in Fertilizers (Faculty of Science) Biocatalysis for Complex Molecule Synthesis (Faculty of Medicine, Nursing, and Health Sciences) Development of Novel
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chemistry Electrochemical testing and analysis Materials characterisation techniques Strong scientific writing and communication skills Candidate Requirements Applicants will be considered provided
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analysis, modelling & simulation and policy evaluation. The candidate will work under the supervision of Associate Professor Rohan Sweeney and Dr. Maame Esi Woode and other researchers at the Centre
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relationships and tailor communications for a wide range of stakeholders, including academics, applicants and enrolled PhD candidates. Strong MS Excel and data analysis skills are essential, including the ability