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Field
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working with refugee and asylum seeker populations. Strong skills in statistical analysis, manuscript preparation and the use of software such as SPSS, Stata, R or Python are also essential. This is a rare
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relevant subject area Experience working with large datasets e.g. CPRD or similar Experience with relevant statistical software (STATA or R) Research experience in Public Health/Epidemiology/Informatics
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reports from a large clinical dataset Using statistical analysis packages (e.g., SAS, R, SQL) to analyze large healthcare administrative datasets Participating in quantitative study design and
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written and verbal communication skills, experience with developing and implementing Bayesian statistical models, and be proficient in computer programming in e.g. R or Python, and C/C++. Please ensure you
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September 2025 at 11.00pm AEST (R-54017).
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) Proficiency with tools such as Pix4D, QGIS/ArcGIS, and R or Python Strong writing skills and a track record of peer-reviewed publication Excellent oral and written communication skills in English Interest
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, at 11.00pm AEST (R-53955).
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their potential. The selection panel considers both potential and performance relative to opportunities when assessing suitability for the role. Applications close on Monday 1 September 2025, at 11.00pm AEST (R
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that applicants follow the Fellowship (F) instructions in the SF424 (R&R) Application Guide except where instructed to do otherwise (in this FOA or in a Notice from the NIH Guide for Grants and Contracts
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of scientific findings. He/she will be accountable to the Principal Investigator (PI). The RF / RA will be able to: Conduct quantitative data analysis using SPSS / STATA / R; Lead the development of research