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. The doctoral research will target thermal transport and energy conversion in 2D semiconductors, particularly transition metal dichalcogenides (TMDs). Optothermal and frequency-domain electrical methods will be
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methods tailored to meet specific target property requirements. These methods will leverage new-to-nature metabolic pathways, ensuring the efficient production of food ingredients and proteins. 2) A multi
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cities, where benefits are unevenly distributed, and how design or management interventions could enhance resilience and equity. A key component of the research will be developing advanced spatial models
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methods, including causal econometric analysis and predictive economic modelling, to assess the economic and distributional impacts of policy interventions across healthcare and disability service systems
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modern causal inference methods, the research will analyse how changes in pay regulation, job quality, working conditions, and global labour market shocks influence workforce shortages and health outcomes
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aims to understand the supply-side drivers of patient fees for mental health services and their impact on socioeconomic inequities in access to care. It will use econometric methods and population-wide
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be of the handle type (e.g. DOI)or URN (e.g. ISBN)). III.2.5. Any other elements that the candidate considers relevant. III.3. All application documents indicated in item III.2. shall be submitted in
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manner. Join us! In industry, vast amounts of data are generated and stored. Often, this data is used in a straightforward manner; however, due to its sheer volume, existing methods struggle to convert it
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of hydrogel-based LAMP assays which will be specific for species of interest Development of battery-powered integrated heating element suitable for LAMP assays Validation studies compared
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significant health and disability policy reforms. The successful candidate will undertake data-driven, policy-relevant research using advanced quantitative methods, including causal econometric analysis and