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Project title: Biometric deepfake to physical attack instrument assessment Supervisory Team: Richard Guest and Jennifer Williams Project description: Deepfake technologies have increased
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range of opportunities to enhance your professional development and transferable skills. The Faculty of Engineering and Physical Sciences covers diverse topics in the areas of Chemistry and Chemical
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Nvidia CEO recently claiming it is over. The scaling of transistors cannot continue due to physical limitations of silicon posing a threat to the sustainable evolution of new technologies. 2D
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or electronic engineering, machine learning, medical physics or neuroscience. Knowledge of electronics is essential. Strong programming skills (MATLAB is essential) & Phyton (TensorFlow library, desirable
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storage. As a further target, investigation of surface adsorption of hydrogen will be carried out to understand how hydrogen enters the bulk to diffuse and how this process is affected by surface
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for a passionate candidate excited about the latest developments in technology. You will work in a multidisciplinary, motivating, and supportive environment. You will need a background in physics
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Au-doped Si process which enhances small signal performances and lead to better performance in terms of crosstalk and RF losses. Such a low-loss and highly linear substrate is extremely suitable for RF
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to be considered. How To Apply Apply onlineby clicking the 'Apply' button, above. Select programme type (Research), 2024/25, Faculty of Engineering and Physical Sciences, next page select “PhD Engineering
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the 'Apply' button. Select programme type (Research), 2024/25, Faculty of Physical Sciences and Engineering, next page select “PhD Engineering & Environment (Full time)”. In Section 2 of the application form
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the decision-making process using state of the art trustworthy AI analysis tools, extending their functionality where necessary. This objective will be assessed by the production of an open-source analysis