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Project details Bridging entrepreneurship and development: Understanding how informal ventures alleviate multidimensional poverty Over 90% of entrepreneurial activity in developing economies is
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Applications are invited for an employed Doctoral Candidate to be funded by the Marie-Skłodowska-Curie Learning Network for Decentralized critical Infrastructure Asset Monitoring and coNDition assessment (DIAMOND), a stimulating, high-level European Doctoral programme including 16 PhD students...
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quality assessment and scanning strategy adjustment within a closed-loop system, enabling truly autonomous, self-optimising inspection. This work will develop a next-generation mobile robotic system capable
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developing novel gas mixtures and supersonic nozzles, to improve speed, quality, and resource efficiency. The research aims to cut energy use, reduce waste, and lower carbon emissions, supporting sustainable
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” because early abnormalities are missed by current diagnostic methods. This project sits at the cutting edge of biomedical engineering, AI, and respiratory medicine, developing a non-invasive, low-cost
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wider ecosystem structures. The findings will generate actionable insights for policymakers, incubators, development organisations, and SMEs by identifying the ecosystem features that most effectively
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they are willing to be named in support of your application. You are also encouraged to ask for feedback to develop your research proposal. All applications should be made online . Under programme name, select
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application. You are also encouraged to ask for feedback to develop your research proposal. All applications should be made online via the above 'Apply' button. Under programme name, select ‘Business School
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complex mixture of physical inputs. There is therefore an urgent need to decouple these influences and develop laboratory-reproducible ocean optics, enabling scalable, interpretable, and repeatable sensing
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with human decision-making. Your work will deliver tools to assess explainability requirements, select appropriate XAI techniques (e.g., SHAP, LIME, counterfactuals), and develop novel explanation