Sort by
Refine Your Search
-
Category
-
Employer
- Cranfield University
- University of Nottingham
- University of Cambridge
- University of Exeter;
- ;
- Bangor University;
- Imperial College London;
- Loughborough University
- Oxford Brookes University
- Swansea University
- Swansea University;
- UCL
- University of Birmingham
- University of Cambridge;
- University of East Anglia
- University of Exeter
- University of Hull
- University of Hull;
- University of Kent;
- University of Nottingham;
- 10 more »
- « less
-
Field
-
2D convolutional neural networks in Python. This is a part-time position (5 hours/week) funded until 31/03/2026 with a possibility of extension and is suitable for a Ph.D. student with relevant
-
models such as Random Forest and Neural Networks to help understand and predict pairwise interactions between pollinators and plant species. - Software Engineering: integrate models into a standalone
-
machine learning frameworks such as recurrent neural networks and transformers. Models and datasets will be studied and benchmarked in key tasks relating to both prediction/forecasting and anomaly detection
-
neural networks and transformers. Models and datasets will be studied and benchmarked in key tasks relating to both prediction/forecasting and anomaly detection. Comparison with known analytic methods and
-
-informed data analytics tools for the predictive maintenance (PdM) strategy applications to high-value critical assets. Among others, the recently developed Physics-informed Neural Network (PINN) technique
-
this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat of data-driven modelling