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Field
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progressive interfacial damage development as a function of fatigue loading. The models will be implemented and validated in commercial finite element (FE) software. The resulting FE model will define
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Development of reproducible software tools and computational workflows for biomedical research Develop novel AI, machine learning, and deep learning methods to address complex biomedical questions in diabetes
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software necessary to convert and process data (e.g. SAS, SPSS, Excel, Access, Dbase). Computer programming capability, including CATI programming software (especially for remote work), is an advantage
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, digital communications, wireless networking and software development through hands-on experimentation. The research offers the opportunity to contribute to cutting-edge technologies for future cyber
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built in the commercial finite element software ‘Abaqus’ to capture pellet clad interaction in both light water reactors (LWRs) and the UK advanced gas cooled reactor (UK-AGR). Whilst Abaqus offers
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software implementation to communication protocols. Concurrent with achieving this understanding, we examine the variation between expected and actual functionality that results from real-world
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SINTEF. The project aims to develop an automated high-throughput platform for physiologically relevant cell research by combining robotics, microfluidics, advanced sensors, cloud-connected software, and
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MRI, high-resolution confocal microscopy and electron microscopy. Develop and refine imaging analysis pipelines, using appropriate software, quantitative approaches and innovative analytical methods
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detailed knowledge of the performance parameters that affect their application software, as it aids in making future technology choices, predicting performance and scalability, and adapting critical software
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of the performance parameters that affect their application software, as it aids in making future technology choices, predicting performance and scalability, and adapting critical software to new developments