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-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning frameworks that integrate
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. Candidates are expected to have experience in one or more of the following areas, such as: wireless networks/communications, machine learning/vision, intelligent transportation systems, intelligent sensing
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Enhanced Learning Dept., (iii) the Dept. of Applied Social Studies, and (iv) ‘A Healthy MTU’ (i.e., MTU’s Healthy Campus Programme). The postdoctoral researcher will coordinate the planning, implementation
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the development of high-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning
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with carrying out original research to develop new machine learning approaches to link different scale geochemical-mineralogical-petrophysical datasets within a 4D geological framework. An initial focus
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of high-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning frameworks that integrate
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of mutual respect, open collaboration, continuous learning, and innovative thinking. Join us at RCSI, where your contributions will be recognised, and you will be part of a dynamic team making a real
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colleague is valued and empowered to thrive. Our dedication to these values ensures that we foster a culture of mutual respect, open collaboration, continuous learning, and innovative thinking. Join us at
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for research, AI, and machine learning applications, accelerating medical innovation while ensuring privacy and ethical standards. https://ihi-search.eu/ About the Role SEARCH (Synthetic hEalthcare dAta
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Hospital. This role requires excellent communication and interpersonal skills, computer literacy, organisation and an awareness of time management. The Research Assistant is required to manage data in