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; · build physics-informed and hybrid AI models that combine geophysical knowledge with data-driven approaches; · contribute to the development of dynamic digital twins for subsurface monitoring
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closely related discipline. Strong analytical and quantitative skills, with knowledge of economic evaluation methods such as decision-analytic or cost-effectiveness modelling. Proficiency in statistical
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to work within the multi-partner HAICu NWA-ORC project. This project is implemented by an ambitious consortium including many universities, knowledge institutions, archives, foundations, cultural
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both news media and forensic investigations. However, recent developments in AI technology now make it possible, with minimal technological knowledge or skills, to create extremely convincing manipulated
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scientific article on the pilot results, and contributing to knowledge translation activities for policy, practice and community audiences. Your profile A PhD in design, social sciences, health sciences
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international and interdisciplinary academic environment, where researchers work closely with industry, public organisations and other knowledge institutions. As a PhD candidate at the University of
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Analysis : Working knowledge or hands-on experience with Python , ImageJ , and/or MATLAB is highly beneficial for image processing and data analysis. Communication : Excellent written and spoken
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knowledge, but it also offers immediate entrepreneurial/commercial applications that can be explored via valorisation of the patent. Furthermore, you will interface with a variety of clinicians, cell
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characterise novel smart sensing devices. IDS contributes to the MESA+ Institute and has a strong track records in knowledge transfers to the semiconductor industry. MESA+ is the largest research