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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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sciences, spatial statistics and genetics. Your responsibilities will include but are not limited to: Developing code and using statistical software to manage and analyse data Contributing to the drafting
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in relevant scientific/research methods, techniques and protocols. Practical lab experience and familiarity with electrochemical or metallurgical processes will be highly regarded. Demonstrated
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and contribute to funding applications. Supervise and mentor junior staff and HDR students (Honours, Masters, and PhD-level). Participate in relevant academic networks, events, and professional
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presentations. Contribute to grant applications for competitive funding opportunities. Who we are looking for (Selection Criteria): Essential: PhD (or near completion) in Geophysics or a related field or an
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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
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equivalent experience. A passion for research that makes a difference and influencing public policy discourse. Demonstrated expertise in data analytics and econometrics methods and their application to real
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we are looking for (Selection Criteria): Essential: A PhD (or near completion) in geochemistry, geology, data science or a related discipline. Demonstrated knowledge of, or strong interest in critical
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Faculty of Science and Engineering and make tomorrow better. Applicants with disability who require adjustments, or alternative methods of communication in the recruitment process can contact our friendly