The Rosalind Franklin Institute
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artificial life PhD Projects, Programmes & Scholarships
We have 93 artificial life PhD Projects, Programmes & Scholarships
We have 93 artificial life PhD Projects, Programmes & Scholarships
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PhD studentship scheme at The Rosalind Franklin Institute
The Rosalind Franklin is a new research institute within the Harwell Campus, Oxfordshire. Read more
Explainable AI: Making Machine/Deep Learning models explainable
Traditional Artificial Intelligence(AI) technologies such as Machine/Deep learning used in developing intelligent/smart solutions largely rely on utilising best representative test datasets and features engineering and less on the available domain expertise. Read more
Explainable AI: Making Machine/Deep Learning models explainable
Traditional Artificial Intelligence(AI) technologies such as Machine/Deep learning used in developing intelligent/smart solutions largely rely on utilising best representative test datasets and features engineering and less on the available domain expertise. Read more
Ecological rationality of choices between gambles
What is optimal choice under uncertainty? This is a fundamental question in artificial intelligence, as well as in economics and in psychology. Read more
AI system for Vehicle to Grid power management
Artificial intelligence and machine learning approaches have been utilised for managing power systems, however, the introduction of the electric vehicle made power management more difficult due to the charging and utilisation of individual vehicles. Read more
Multimodal Control of Prosthetic Limbs/Paralysed Muscles
This project aims to enhance the quality of life of patients with amputees, spinal cord injury, stroke and brain injury by developing advanced control strategies for artificial limbs. Read more
Can a bacteria brain play Ping-pong and Go?
Although initial discussions regarding bioelectricity and its role in the fundamental understanding of various cellular behaviours took place in the 1970s, the bioelectrical view of cells as a more general concept has remained limited to the fringes of biological research for five decades. Read more
Deep-learning for semantic-based information extraction from natural language
Research Group:
Computing, Informatics and Applications Research Group
Research Group. Computing, Informatics and Applications Research Group. Proposed supervisory team. Dr Arooj Fatima. Dr Cristina Luca. Read more
Using AI and big data to identify a personalised medicine regime in individual tumours
Research Group:
Biochemistry
The ultimate goal in cancer treatment is to identify the therapeutic vulnerabilities of a patient’s tumour and use this to design a personalised medicine regime. . Read more
Dealing with Imperfect Rationality in AI Systems
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
Monitoring-based framework for enhanced resilience of critical structures
The research project aims to develop innovative tools for the damage assessment of critical structural systems such as buildings and bridges exposed to external shocks (e.g. Read more
DOCTORAL RESEARCHER - HOMeAGE
HOMeAGE involves a nine-country collaboration between leading research units, major intergovernmental organisations, international civil society actors and governmental and non-governmental organisations. Read more
Domain knowledge Informed Data Analytics Tools for Predictive Maintenance of High-Value Critical Assets
Predictive Maintenance (PdM) is one of the maintenance strategies that has attracted the attention of businesses in this Industry 4.0 era. Read more
Identifying and resolving the ethical challenges of the use of AI and robotics in supporting elderly people in the community
The. Advanced Care Research Centre (ACRC). is a new, multi-disciplinary, £20M research centre at the University of Edinburgh. Read more
Deep learning and bioinformatics approaches for personalised medicine
An exciting opportunity to work within a highly multidisciplinary group at the Biomedical AI and Data Science Lab (www.hebasailem.com) at the School of Cancer and Pharmaceutical Sciences to develop new computational pathology approaches to improve cancer patient treatment and diagnosis. Read more