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translating these into field-deployable species identification protocols using qPCR and long-read sequencing technologies. You will also support method validation and standardisation across diverse fishing and
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skills in mathematics and statistics, including in application of computational methods. Demonstrated interest/experience in population health and observational science Conduct research/scholarly
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to the development of new concepts, methods, and scalable systems for networked digital twins that support autonomous decision infrastructure for adaptive action with human oversight. This project is part of
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, enabled by agentic and embodied AI. Working under the supervision of Dr Neda Mohammadi , the successful candidate will contribute to the development of new concepts, methods, and scalable systems
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methods (for example, learning-based, network-based, or agent-based approaches) to analyse dynamic decision behaviour, rather than focusing solely on predictive or optimisation performance prepare and
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-in, and performance or creativity degradation in socio-technical decision processes design and implement quantitative methods (for example, learning-based, network-based, or agent-based approaches
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and AI/ML. In this role, you will advance innovative research that apply AI/ML to develop methods and tools to improve crop performance and resilience, contributing to solutions for global food security
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methods for DSGE/OLG models and dynamic programming models. Familiarity with simulation and calibration methods. Strong skills in econometrics, including familiarity with method of moments and maximum
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About you hold a PhD in behavioural science, public health, health sciences, or a related discipline demonstrate proficiency in qualitative research methods, with experience in quantitative research
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cared, nursing, education and infection prevention and control. Our project will establish the governance requirements for, and elements of, infection prevention and control programs in residential aged