10 Electrical Engineering positions at University of Sheffield in US in United Kingdom
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T Chico Application Deadline: 26 June 2024 Details Use of smart wearable technology in the general population has increased exponentially in the last 10 years, such that a YouGov poll recently
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Defining the role of ADAM-17-mediated cellular crosstalk in the pathogenesis of inflammatory skin disease (atopic dermatitis) using tissue engineered skin School of Clinical Dentistry PhD Research
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Department of Mechanical Engineering PhD Research Project Self Funded Dr X Li Application Deadline: Applications accepted all year round Details We are excited to announce a new PhD opportunity in the areas
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, and enhanced sustainability. Candidate Requirements Minimum 2.1 Bachelor’s degree or Master’s degree in a relevant discipline (e.g., Computer Science, Electrical Engineering, Biomedical Engineering, and
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electricity consumption can be 2 – 4 times larger than the conventional CO2 capture technology. The electricity and thermal energy in the current DAC design are supplied by fossil fuels such as natural gas. A
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Project Competition Funded Students Worldwide Dr D Krizhanovskii Application Deadline: Applications accepted all year round Details Recent advances in semiconductor nano-technology have led to a new
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Improvement of the efficiency of PEM fuel cells through the use of appropriate sealing means Department of Mechanical Engineering PhD Research Project Self Funded Prof M Pourkashanian, Prof L Ma
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Characterisation of the porous media used in PEM fuel cells Department of Mechanical Engineering PhD Research Project Self Funded Prof M Pourkashanian, Prof L Ma, Prof K Hughes, Dr Mohammed
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Functional lung image synthesis using machine/deep learning: development, validation and application
, and adapting the framework for other imaging modalities or medical imaging challenges. Join our multidisciplinary team of physicists, engineers, clinicians, and physiologists to advance the field
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Analysis of post-combustion CO2 capture from natural gas power plants using CFD and process co-simulation Department of Mechanical Engineering PhD Research Project Self Funded Prof M Pourkashanian