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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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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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. 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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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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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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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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are seeking an experience Postdoctoral researcher to work on an Enterprise Ireland funded project at the intersection of statistics, machine learning and digital medicine. This is a collaborative project
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will be filled on 24-month Fixed Term Whole-Time Contract, with the latest contract start date of 1 January 2026. Successful candidate will be working on a Re-Learn project, with fully secured funds
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to apply Website https://www.mtu.ie/vacancies/ Requirements Research FieldAllEducation LevelPhD or equivalent Skills/Qualifications Key Skills & Experience Required The successful candidate will have minimum
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, 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 impact on global health. About Our Research RCSI