33 machine-learning "https:" "https:" "https:" Fellowship positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Employer
- University of Manchester
- University of Nottingham
- Durham University
- Plymouth University
- The University of Manchester;
- University of Leeds
- Brunel University
- Francis Crick Institute
- Newcastle University;
- Queen's University Belfast
- UCL EE
- UCL;
- UNIVERSITY OF SURREY
- University of Cambridge
- University of Glasgow
- University of Nottingham;
- 6 more »
- « less
-
Field
-
discrete choice modelling, behavioural data science or machine learning? Are you interested in developing the next generation of AI tools that accelerate scientific discovery while maintaining behavioural
-
adaptive cybersecurity solutions for shared social and economic systems. The successful researcher will apply expertise in programmable networking, network traffic analysis, and machine-learning
-
advanced statistical modelling, econometrics or machine learning with a particular focus on analysing large-scale behavioural data? Are you interested in developing new methodological approaches capable
-
chip packaging F5 Experience using data analysis or machine learning tools for electronics reliability or sustainability assessment F6 Experience with rapid prototyping technologies (3D printing, laser
-
, along with Christmas closure Ride to work and EV car scheme available For more information, please see University of Manchester Benefits . You can also find information on our Flexible and Hybrid working
-
to work and EV car scheme available For more information, please see University of Manchester Benefits . You can also find information on our Flexible and Hybrid working here . We are an open place of
-
modalities in the rodent brain (3D light-sheet microscopy, spatial transcriptomics and MRI of the same brain) to learn MRI contrasts that can depict neuronal and glial cell density and morphology. You will
-
modalities in the rodent brain (3D light-sheet microscopy, spatial transcriptomics and MRI of the same brain) to learn MRI contrasts that can depict neuronal and glial cell density and morphology. You will
-
vision, machine learning, computational imaging, surgical data science, biomedical engineering, medical image computing or a closely related discipline. They should have strong knowledge of AI, computer
-
the Electrochemical Engineering Science Group and work within Dr Daniel Niblett's team on the five-year UKRI EPSRC ION-H2 Fellowship. The programme combines computational modelling, machine learning