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Job Reference: 1122969 About the Role: You’ll be joining an exciting ARC-funded research project developing cutting-edge computational methods to predict and understand the organic crystal
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Job Reference: 1168098 About the Role: You will play a key role in advancing distributed and adaptive AI methods, focusing on scalable software frameworks, learning algorithms, and orchestration
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Status: Closed Applications open: 20/09/2024 Applications close: 30/09/2024 View printable version [.pdf] About this scholarship Description/Applicant information PhD candidates at ACSPRI Member
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capabilities in agricultural disease management. Your responsibilities will include: Lead the development and application of novel methods/pipelines for processing and analysing satellite, airborne and proximal
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and contribute to data collection activities using appropriate research methods and protocols. Undertake literature reviews and preliminary data analysis. Assist with preparing funding applications
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community. Selection Criteria: A doctoral qualification (PhD) in a relevant discipline (e.g. Exercise, Young Onset Dementia, Dementia, Public Health). Demonstrated record of high-quality research outputs
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for these fellowships will normally be expected to meet the following eligibility criteria: A track record of proven academic excellence, such as a PhD or first class Honours (or equivalent). Completion
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and remote communities, with a specific focus on qualitative research methods. This position is a full-time contract until December 2026 with the possibility of extension, based at the Goldfields
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looking for - Selection Criteria: Applicants for these fellowships will normally be expected to meet the following eligibility criteria: A track record of proven academic excellence, such as a PhD or first
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and teaching. Expertise in quantitative and qualitative research methods. Demonstrated capacity to lead interdisciplinary teams and mentor emerging scholars. Deep understanding of research translation