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level in a discipline related to Engineering, Physics, Mathematics or Computer Science and have obtained or about to obtain a PhD in the same area with application to deep learning. You will have
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and Registration process: SST supports the Registry and Academic teams throughout the registration and induction procedures to maintain a close relationship with the students and keep pertinent data
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Unlocking Next-Generation Solar Cells: Integrating Novel Non-Fullerene Acceptors with Metal Halide Perovskites Department of Physics and Astronomy PhD Research Project Directly Funded UK Students Dr
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required for the role can be found within the Job Description here If you would like to discuss the application or recruitment process before making an application, please contact Sam Rafferty at Resourcing
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contacting either ambient air or the combustion gases of gas turbines with solvents used for CO2 capture. It uses a first of a kind prototype system to obtain experimental data, combine the data with process
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adjustments to those who may require support with the recruitment process - please contact the ULaw Talent Acquisition Team [email protected] . Please note: For this opportunity, you must be able
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. Collaboration with our Faculty of Engineering will be essential, particularly focusing on high-performance computing, cyber-physical systems, and the integration of AI technologies. You will have access
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play a significant role in the development and deployment of the department wide strategy, leading change implementation and process improvements across the University. The role requires exceptional
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New, nanoscale insights into perovskite solar cells for clean energy solutions Department of Physics and Astronomy PhD Research Project Directly Funded UK Students Dr Alex Ramadan Application
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for telecommunications networks. Collaboration with our Faculty of Engineering will be essential, particularly focusing on high-performance computing, cyber-physical systems, and the integration of AI technologies. You