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inference attacks, to mitigate privacy leaks in MMFM. You will hold a PhD/DPhil (or be near completion) in a relevant discipline such as computer science, data science, statistics or mathematics; expertise in
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flow control, in collaboration with researchers at the Arizona State University. The position would suit a theoretician with a strong control engineering or mathematical background. The successful
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application and in any correspondence about this vacancy. The Department holds an Athena SWAN silver award for women in Science, Technology, Engineering, Mathematics, and Medicine. The University actively
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application and in any correspondence about this vacancy. The Department holds an Athena SWAN silver award for women in Science, Technology, Engineering, Mathematics, and Medicine. The University actively
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. The Department holds an Athena SWAN silver award for women in Science, Technology, Engineering, Mathematics, and Medicine. The University actively supports equality, diversity and inclusion and encourages
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Leedham (colorectal cancer biology), Dan Woodcock (cancer genomics), Helen Byrne (mathematical modelling), and Jens Rittscher (computational pathology and imaging AI), offering a unique opportunity to work
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defence and security, working directly with industry and sometimes governmental or military collaborators. You are expected to have strong mathematical and programming skills, knowledge of computer vision
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) that combines a mix of remote and regular on-campus working. Your skills and attributes for success: Essential PhD (or near completion) in Computer Science, Physics, Mathematics, or related field
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Leedham (colorectal cancer biology), Dan Woodcock (cancer genomics), Helen Byrne (mathematical modelling), and Jens Rittscher (computational pathology and imaging AI), offering a unique opportunity to work
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity