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CSM is offering a new project applying Machine Learning Technology to improve a key algorithm of Computer Algebra Systems.
Perfluoroalkyl substances, or PFAS are a group of man-made chemicals that are manufactured and used in a variety of industries around the world (e.g. textiles, household products, food processing, construction, electronics).
This project will investigate and seek to innovate a novel collaborative cognitive radio approach between a multi-learning intelligent agent system.
Improving the Online Teaching of STEM Educators in Higher Education through Knowledge Mining from Pedagogy Literature
The Centre for Data Science is inviting applications from suitably-qualified graduates for a self-funded full-time PhD studentship.
Coventry University (CU) is inviting applications from suitably-qualified graduates for a fully-funded PhD studentship in partnership with Deakin University in high power Na-ion capacitors for next generation energy storage.
Novel Hybrid Wind and Wave Energy System and Its Structural Dynamic Responses Subjected to Combined Wind and Wave Loads
This project aims to combine the benefits of both offshore wind and wave technologies and propose solutions for their further development through developing a novel multifunctional platform.
Effect on society of gendered embodied and gendered virtual AIs and Robots with embedded emotion and conversational capacity
Coventry University is inviting applications from suitably qualified graduates for a self-funded PhD studentship for individual research supervised by a team to investigate the effect on society of gendered robots.
Effectiveness of the Maximum Satisfiability formulation of the set covering problem and its variants
The Maximum Satisfiability (MaxSAT) problem is to determine the maximum number of clauses from a given Boolean formula in conjunctive normal form that can be made true by an assignment to the variables.
The proposer has developed a new concept of embedding machine learning methods into image filter algorithms, which could dramatically improve the accuracy and efficiency of real-time detection and tracking methods for surgical instruments.
Coventry University is inviting applications from suitably-qualified graduates for a self-funded PhD studentship. This is an exciting opportunity in cutting-edge research of autonomous smart cells.