-
topological classification frameworks, particularly the formalism described by Silva et al. Machine Learning / AI: Design and training of a neural network—likely a transformer or graph neural network (GNN
-
requirements of the applicant: Programming skills in Python or R. Machine Learning experience is desirable, but not essential. Important Information: Applications for more than one MRes studentship are welcome
-
(AI) and machine learning (ML) could greatly change how doctors diagnose and treat cancer. One important part of this process is looking at pictures of tissue samples (called histopathology images
-
infection kinetics and immunobiology. The conventional ways of developing vaccine, which involves attenuated agents might take up 10-15 years of development. On the other hand, development of Machine Learning
-
attenuated agents might take up 10-15 years of development. On the other hand, development of Machine Learning based Bioinformatics’ tools has made it possible to define vaccine candidates by in silico
-
. Combining computer vision with artificial intelligence will enable a PhD researcher to develop models that can reason, understand or learn like a human. The ability to identify defects, adapt to new and
-
users comprehend and trust machine learning outputs. It is critical for implementing responsible AI, enabling fairness, accountability, and explainability at scale. Various XAI methods exist, applicable
-
of Cognitive Dysfunction in Older People Using Supervised Machine Learning Techniques: Observational Study JMIR Med Inform 2020;8(9):e20995 Tobin et al. Co-Clustering Multi-View Data Using the Latent Block Model
-
. In collaboration with LoweConex, a leading software and analytics provider for connected building assets, this project combines machine learning, physics-based models, and expert domain knowledge
-
researcher and the PHA by providing expertise in data analytics, statistical analysis and machine learning, and the PhD researcher will also be supported by the Doctoral College training resources at Ulster