This project is part of a unique cohort based 4-year fully-funded PhD programme at the. UKRI Centre for Doctoral Training in Safe and Trusted AI. Read more
The identification of the most accurate diagnostic test for a particular disease contributes to the prevention of unnecessary risks to patients and healthcare costs. Read more
Applications are invited for a PhD degree in Artificial Intelligence and Machine Learning (AI/ML) to advance the security and reliability of cyber-physical systems, embedded systems, and electronics/electrical systems. Read more
Dystonia is a movement disorder, which can cause involuntary twisting of the neck, cramping of the hand, tremor or tonic muscle contractions in multiple parts of the body. Read more
Genetic diagnostics currently forms a key part of the care pathway for cancer patients, with results being used to plan patient care and treatment. Read more
The Nuclear Physics Group at Manchester are collaborating with an industrial partner in Rapiscna Systems aiming to improve backscatter imaging technologies. Read more
The Nuclear Physics Group at Manchester are collaborating with an industrial partner in Rapiscna Systems aiming to improve backscatter imaging technologies. Read more
The proposed project aims to address the increasing threat of cybercrime in the automotive industry by developing an innovative Vehicular Penetration Test (VPT). Read more
Background. Crohn’s disease (CD) is a chronic relapsing incurable inflammatory bowel disease (IBD) affecting approximately 165/100000 people in the UK. Read more
Digital pathology lends itself to the systematic use of artificial intelligence applications. Algorithms developed with machine learning on scanned images are objective, accurate and can produce results more quickly than pathologists. Read more
Many studies that assess products’ physical interactions with people (e.g. friction of skin, transmission of vibration) require human subject testing. Read more
Machine Learning (ML) is becoming more and more important with its increasing integration in various domains such as self-driving cars, machine translation, medical systems, many of these being safety-critical applications. Read more
Project ID: SST_2_6. The wear and wear particles of hip joint replacements is a main problem causing the failure. Wear particles are generated from the artificial materials during motion, and they have adverse biological reactions with the surrounding tissue and bone. Read more
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