89 linked-data "https:" "https:" "https:" "https:" "https:" "https:" "CSIC" Postdoctoral positions in Australia
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who has: PhD in Economics, Mathematical Sciences, Comp u ter Science, Environmental Science (with a quantitative foc u s) or related fields; strong experience in large-scale data processing and
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country-based research teams to develop interview guides, undertake data analysis, coding, and document analysis, and contribute to the development and management of the project's dataset. The role is
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change together through cutting-edge research in digital media forensics, multimodal data correlation, artificial intelligence, and cyber-enabled trust technologies. Working alongside world-class
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quantitative data analysis, statistical reasoning, validation and interpretation of results. Experience with FPGA, GPU or accelerator technologies. Familiarity with high performance or embedded
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, the Fellow will contribute to experimental design, data analysis, manuscript preparation, grant development, and the supervision of students and research staff, helping to advance the laboratory's
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, research ethics, data quality, causal analysis, and the preparation of academic publications and policy outputs. As an affiliate of the Centre for Disaster Resilience and Recovery (CDRR) within the
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scholarship is open to applicants who meet all the following criteria: Gender: female Must be commencing in Semester 1, 2027 in the Bachelor of Computer Science/Master of Data Science Campus: North Sydney
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, membranes, flow-field components and sealing systems. Develop, commission and operate experimental test systems, integrating electrochemical devices with fluid-handling equipment, instrumentation and data
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a high-quality data management system to ensure accuracy, integrity, and compliance with research standards and protocols. Achieve a strong and consistent publication output. Submit annual fellowship
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perform detailed laboratory characterisation of astrophotonic components, including designing robust experimental procedures and analysis of data contribute to novel data analysis and/or instrument