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will then embark on coming up with a suitable design for a generic economic model and construct the model using their software of choice. This new generic model can then be demonstrated by using data
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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demonstrable experience in academic writing for publication, e.g. peer reviewed paper(s) and/or report(s) Advanced statistical software skills are desirable, e.g., regression analyses, repeated-measures analysis
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and clinical data using bioinformatics software and methodologies (e.g. R/Bioconductor statistical environment) Previous specialist experience and in-depth specialist understanding of relevant
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equipment, and have access to valuable industry data. The student will benefit from opportunities to present at leading international conferences. Additional training in software-defined radio, hardware-in
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and written) in English Proficient in Microsoft Office Software (Microsoft Word, Excel, PowerPoint) Hardworking, proactive, willing to learn new things Ability to work both independently and as part of
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the preparation of articles for publication in scientific journal(s) Good numerical and statistics skills and familiarity with text editing software, such as Word, Excel, etc. Knowledge of advanced statistical
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innovation through applied research, bridging academia and industry. Students will have access to state-of-the-art laboratories, hardware/software resources, and design facilities, supporting AI-powered
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applied research, bridging academia and industry. Students will have access to state-of-the-art laboratories, hardware/software resources, and design facilities, supporting AI-powered electronics research
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. Despite some success stories of the use of ultrasound/AE-based technologies for CM of low-speed bearings, high investment cost for hardware and software is the main bottleneck in adopting these technologies