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the principal supervisor of the project at UOW, Dr Chin-Hsing Kuo ([email protected]). Entry requirements Open to any UK, Australian or international candidates. Starting in February 2025. Candidates who meet the
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apply analytical theories. The proposed project must align with the aim of CLASS; to improve fair outcomes in the family justice system. Existing projects include the use of expert evidence and risk
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environment. The primary goal is to enhance our understanding and predictive capabilities, thereby improving decision-making processes to effectively reduce the impact of these hazards on infrastructure systems
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applicants who wish to study for a PhD research degree in one of its schools or colleges: www.uwl.ac.uk/research/research-degrees/phd-opportunities Particular attention will be paid to applications aligned
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Award Summary Funding will cover tuition fees at the Home (UK) rate only, a Research Training and Support Grant (£5,000 p.a.) and an annual stipend aligned to the UKRI rate (£19,237 for 24/25
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attention, leading to impressive advancements in algorithms, datasets, and benchmarks. The primary aim of this project is to develop innovative, effective, and efficient deep learning algorithms tailored
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quantitative methods, data skills and machine learning methods for effectively handling micro-level panel data, providing valuable skills for future careers. A Masters degree is not a prerequisite. Undergraduate
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skills for future careers. A Masters degree is not a prerequisite. Undergraduate and master’s students in economics, finance and business analytics are welcome to apply. Entry requirements should be
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) Supervisors: Dr Kate Ellis-Davies ([email protected] ) Dr David Playfoot Professor Nicola Gray Aligned programme of study: PhD in Psychology Mode of study: Full-time Project description
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ecosystems, and entrepreneurial ecosystems. Innovation systems fail due to lack of business alignment, poor processes, unsupportive culture and lack of key stakeholder commitment. Actors may have difficulty