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. Further information can be found by viewing UQ’s Criteria for Academic Performance . About You Completion (or near completion) of a PhD in a relevant discipline (Demography, Geography, Economics
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of electro- and photochemical modalities into digital chemistry frameworks employing analytical feedback for the acceleration of chemical discovery. The successful candidate will be required to make a leading
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systems or autonomous AI frameworks · Solid foundation in computational biology · Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX) · Strong analytical, problem solving, and communication
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., SEM, XRD, FTIR, mechanical testing). Proficiency in data analysis tools (Python, MATLAB, JMP) and technical documentation. Strong analytical skills and attention to detail. Excellent written and verbal
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, Statistics, Image analysis Basic understanding of plant phenotyping and analysis of large data sets, preferably also using AI tools for image analysis Strong analytical skills and ability to work independently
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of health care markets. The fellow will also have time for their own complementary research, and we will facilitate access to our data sources in support of their research. The fellow will be supervised by
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of implementation analysis). This will include reviewing data from a feasibility study, identifying supplementary data needs, and developing tools for costing in a full trial. The postholder will also contribute
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opportunity to collaborate with other researchers affiliated with the Institute of Data and Analytics (IDA), Alabama Mobility and Power (AMP) center and Alabama Transportation Institute (ATI). This position
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objective of ATMRI is to support research and innovation in air traffic management. ATMRI focuses on developing practical and data-driven solutions for complex aviation systems, in close collaboration with
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local