Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- ;
- Nature Careers
- Susquehanna International Group
- University of Utah
- University of Cambridge
- University of Newcastle
- University of Sheffield
- ; University of Cambridge
- CSIRO
- DAAD
- Imperial College London
- Leibniz
- Lulea University of Technology
- Luxembourg Institute of Socio-Economic Research (LISER)
- Max Planck Institute for Demographic Research (MPIDR)
- Purdue University
- Technical University of Denmark
- University of Lund
- University of Texas at Austin
- University of Tübingen
- 10 more »
- « less
-
Field
-
validating deep learning models for the prediction of disease progression from ophthalmic data. Skills include working with image or computer vision-based toolkits, development of multimodal, multidata type
-
Description As part of a multi-disciplinary, integrated research team, the candidate will participate directly in efforts to relocate seismicity and to provide subsurface velocity models and geo
-
Mohamed Pourkashanian, Prof Lin Ma, Dr Kevin Hughes, Prof Derek Ingham Application Deadline: Applications accepted all year round Details This project will investigate the most efficient modelling
-
Modelling post combustion amine CO2 capture plant School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Dr Kevin Hughes