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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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., financial management, reporting, equipment management, etc.). Funding Contribute to identifying external funding sources and assist with writing grant proposals. Where to apply Website https://www.mtu.ie
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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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at St. Stephen's Green/RCSI car park Recognition: At RCSI, we value and recognise the contributions of our staff through various awards and events, such as Long Service recognition, the Vice Chancellor
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. Job Reference number: 019048 Prior to application, further information (including application procedure) should be obtained from the Work at UCD website: https://www.ucd.ie/workatucd/jobs/ We
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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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inclusion and encourages underrepresented groups to make applications and accommodates candidates with disability to apply for posts. Please see https://www.mtu.ie/edi/ for more information including our
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accommodates candidates with disability to apply for posts. Please see https://www.mtu.ie/edi/ for more information including our equality statement. Where to apply Website https://www.mtu.ie/vacancies