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insights, and applying appropriate AI models for geospatial analysis based on the integrated data. This role is part of the project: Decision-support-tools for Spatial Planning and Cumulative Effects
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Analysis of Economic Impacts of Ultra-Processed Foods to lead quantitative research on the economic impacts of ultra-processed foods, managing and analyzing large, complex datasets to generate robust, policy
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effective? The project is aimed at technical innovations in computational physics and computer vision (sensing, camera calibration, depth estimation, tracking and visualisation) to enable real-time tissue
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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degree (120 ECTS) or equivalent in Electrical Engineering, Renewable Energy, or a related discipline (final‑semester candidates may apply). Experience with scientific programming and data analysis
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data management & analysis and supporting the dissemination of research outcomes. About the role LEVEL A - $118k - $126k plus 17% Superannuation and annual leave loading Fixed Term – 2.5 years (to July
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and functionally validate antibodies targeting tau in neurodegeneration in vitro and in mouse models, undertake data analysis, prepare manuscripts, publish high-quality research and present findings
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recruitment) to address the relevant research questions. Perform statistical analysis on survey/experimental data, and Conduct thematic analysis on interview transcripts and open-ended survey responses. To lead
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, Collections and AI 3D Scanning and Digital Heritage Extended Reality (VR, AR and Mixed Reality) as Art Historical Tool Network Analysis and Cultural Data Human–AI Collaboration in Art Historical Interpretation
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models. · Experience with bioinformatics, single-cell sequencing analysis, spatial biology, or computational data analysis is desirable but not required. · Proven scientific productivity