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data sources to answer important population-level questions that will inform health technology assessment, policy, and practice. The successful PhD student will be embedded within an interdisciplinary
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: Search for the ‘Course Title’ using the programme code: 8201F The Research Area is: Physical Geography Select PhD Civil Engineering (full time) as the programme of study You will then need to provide
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-informed machine learning (PIML) with domain-specific engineering knowledge. By embedding physical laws and corrosion mechanisms into data-driven models, the research will produce more accurate
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to apply: Please choose Electrical and Electronic Engineering Research Program and Control and Power Group, then indicate Professor Balarko Chaudhuri as a potential supervisor when making the application
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that respond dynamically to external forces. Such possibilities challenge conventional thinking in engineering and design. By studying how stresses, geometry, and material properties interact, we can develop
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may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply You must apply through the University’s Apply
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equivalent in a related discipline. This project would suit motivated graduates from a wide range of STEM backgrounds—including environmental, civil, chemical or mechanical engineering, computer
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(Materials Science, Chemistry, Physics, Engineering) and should be self-motivated, able to take ownership of their research, and effectively communicate their research findings. Training in all
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Location: Central Cambridge A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on non-equilibrium turbulent flows over rough walls. The post holder will
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fluorescence microscopy, live cell imaging, and cell proliferation and migration assays (such as scratch assay, high throughput migration assay, 3D migration, wound contraction assay). To apply, please follow