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associated with the running of the project and the requirements of our funders. It is essential that you have a PhD in computer science, or equivalent professional qualifications and experience; ideally your
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smart cities. To be successful you will have: PhD in Computer Science, Data Science, Machine Learning, Electrical Engineering, or a related field with focus on speech processing, edge computing, TinyML
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extraction and data analysis. We invite applications from candidates who have a PhD or equivalent qualifications and experience in a quantitative field, such as Statistics, Medical Statistics, Health Services
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plans should be adjusted accordingly. There will be opportunities to supervisor multiple PhD students as a member of supervisory team. Applicants are required to have a PhD*, or equivalent professional
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vibrant, diverse, and inclusive academic community. Opportunities for professional development and career growth, e.g., mentorship of PhD students, development of funding applications, involvement in
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should have required qualifications and experience Education: PhD in Biomedical Engineering, Electronic Engineering, Mechanical Engineering, Materials Science, or related disciplines with a strong academic
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You will be directly involved with the UNIFORM (UNIfying Grid-FOllowing And Grid-foRMing Control In Inverter-based Resources) project, a collaborative programme with four academic and industrial
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of aeroelasticity. There will also be opportunities to supervise post-graduate students and to get involved in other research streams within the same project. Within the Department of Aeronautics and Astronautics
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interpretation of data Simple process simulation and modelling General lab organization and coordination Assist supervising PhD, Master and undergraduate project students Data collation, presentation and reporting
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team of experts in multidisciplinary engineering simulation and design. Collaborate on practical topics with postdoctoral researchers and graduate students using analytical, computational, and