642 phd-studenship-in-computer-vision-and-machine-learning positions at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Engineering
- Economics
- Biology
- Medical Sciences
- Materials Science
- Chemistry
- Mathematics
- Business
- Arts and Literature
- Electrical Engineering
- Psychology
- Linguistics
- Humanities
- Physics
- Education
- Philosophy
- Science
- Earth Sciences
- Environment
- Law
- Social Sciences
- Sports and Recreation
- 13 more »
- « less
-
The effects of micro-machining operations on structural integrity of biomaterials used in dental applications School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded
-
PhD Opportunities in Molecular and Cellular Biology School of Biosciences PhD Opportunities Self Funded View DetailsApply Online
-
, multiplex imaging analysis) Essential Application/Interview Experience in bioinformatics or computational analysis of biological data (e.g., transcriptomics, spatial omics, image analysis, machine learning
-
Exciting Fully Funded PhD: Computational Modelling for High-Pressure, Low-Carbon Storage Technologies. Be a Key Player in Shaping the Future of Clean Energy Storage! School of Mechanical, Aerospace
-
Exciting Fully Funded PhD Opportunity: Novel Sealing for High-Pressure H2 and Low-Carbon Storage Technologies - Help Shape the Future of Clean Energy Storage! School of Mechanical, Aerospace and
-
Shifting the paradigm: machine-assisted scholarly digital editing Digital Humanities Institute PhD Research Project Self Funded Dr Isabella Magni Application Deadline: Applications accepted all year
-
to develop and validate paediatric bone models through a combined computational and experimental approach, in collaboration with clinical partners at the Sheffield Children’s Hospital. The ideal candidate will
-
Improving Deep Reinforcement Learning through Interactive Human Feedback School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Bei Peng, Dr Robert Loftin Application
-
The Japanese Long-Baseline Neutrino Programme (T2K, Super-Kamiokande and Hyper-Kamiokande) School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr S Cartwright, Dr Patrick
-
). • Eligibility: First degree and Masters in one of engineering and computing fields • Standard departmental requirements: First Class • Experience in physical modelling and machine learning, interest in medical