Sort by
Refine Your Search
-
Project title: Biometric deepfake to physical attack instrument assessment Supervisory Team: Richard Guest and Jennifer Williams Project description: Deepfake technologies have increased
-
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
-
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
-
or electronic engineering, machine learning, medical physics or neuroscience. Knowledge of electronics is essential. Strong programming skills (MATLAB is essential) & Phyton (TensorFlow library, desirable
-
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
-
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
-
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
-
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
-
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
-
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