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-keeping, and data analysis. High personal motivation, ability to work independently, show initiative, problem solve and work productively as part of a highly collaborative team. Position description
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-keeping, and data analysis. High personal motivation, ability to work independently, show initiative, problem solve and work productively as part of a highly collaborative team. Position description
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classification. Strong background in experimental design, statistical sampling and analysis in field settings. Skilled in GNSS‑based geolocation, GIS software (e.g. QGIS, ArcGIS) and programming (Python, R
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, data management, data analysis, and reporting. Experience using statistical/programming tools or packages, such as SPSS, Stata and/or R. Excellent interpersonal skills and proven ability to establish
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advanced surface analysis techniques. This academic position will have the freedom to drive fundamental and applied ToF-SIMS-related research in a discipline of their choosing. Your new Team - John de Laeter
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prototype integration to translate sensor outputs into clinically relevant protein biomarker data. The role will involve laboratory-based experimentation, data analysis, and active contribution to scholarly
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preparation, and data analysis Assist in systematic reviews and grant development What you’ll bring: An honours degree or higher in a biomedical, allied health, or clinical research field Experience working in
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behaviour during bushfires, including the conduct of online surveys with bushfire survivors to study evacuee transport behaviour and the analysis of quantitative data, involving the development of statistical
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Develop and support Cube Analysis and Rendering Tool for Astronomy (CARTA) software within a global team to enable high-impact science using SKA data and infrastructure. Full-time appointment on a
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University of Western Sydney | The University Of Sydney, New South Wales | Australia | about 1 month ago
online collection.” You will contribute to cutting-edge research that blends gamified online data collection with neurocomputational analysis to explore how public users perceive digitised Powerhouse