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laboratory characterisation of astrophotonic components, including designing robust experimental procedures and analysis of data contribute to novel data analysis and/or instrument control code, leveraging
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cells, including, but not limited to, electrical, optical, and morphological characterisation. Strong background and technical expertise in stability testing and failure analysis of perovskite single
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currently seeking a Postdoctoral Research Associate in Spatial Omics and Statistical Data Science to join an ARC-funded Discovery Project developing statistical and computational methods for the analysis
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modelling, data analysis and interdisciplinary approaches, our work investigates pathways to improve the resilience, efficiency and long-term sustainability of solar energy deployment. In this role, you will
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prototyping and on-sky testing perform detailed laboratory characterisation of astrophotonic components, including designing robust experimental procedures and analysis of data contribute to novel data analysis
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analysis of long-term reef system datasets. Participate in hands-on scientific fieldwork, including boating and scuba-based research in compliance with safety and regulatory standards. Support supervision
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settings native speaker competence in a non-European language (preferred) experience in quantitative methods of typological analysis demonstrated ability to conduct research/scholarly activities under
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analysis and ecological interpretation to generate high-quality research outputs, including technical reports and peer-reviewed publications. Engage with community stakeholders and project partners
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statistical analysis, research data management and scholarly writing, including a track record of peer-reviewed publications. You will bring excellent analytical, organisational and communication skills
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mentorship in experimental design and data analysis foster collaborations within the laboratory, CPC, and broader national and international research community present research findings at national and