Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- KINGS COLLEGE LONDON
- ;
- AALTO UNIVERSITY
- Heriot Watt University
- King's College London
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Durham University
- University of London
- UNIVERSITY OF VIENNA
- University of Reading
- DURHAM UNIVERSITY
- King's College London;
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Swansea University
- UNIVERSITY OF READING
- University of Cambridge
- University of Oxford;
- Aston University
- Birmingham City University
- Ellison Institute of Technology, Oxford Limited
- Manchester Metropolitan University
- Technical University of Denmark
- The University of Edinburgh;
- University of Exeter;
- University of Glasgow
- University of Glasgow;
- University of Greenwich
- University of Liverpool
- University of Reading;
- University of West London
- University of York;
- 22 more »
- « less
-
Field
-
-Royce and is fixed term for 6 months with possibility of extension. Ice accretion is a serious threat to civil aviation but also a challenging phenomenon to model. Recent progress in the field has
-
-Royce and is fixed term for 6 months with possibility of extension. Ice accretion is a serious threat to civil aviation but also a challenging phenomenon to model. Recent progress in the field has
-
Institute). The position is fixed term for 36 months and will provide opportunities to work on aircraft icing modelling and experimental campaigns. Ice crystal icing is one of the least well characterised
-
from all backgrounds to join our community. The Department of Electronics and Nanoengineering at Aalto University is now looking for a Postdoctoral Researcher in GaAs Photonic Integrated Circuits
-
of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles
-
intelligence experts to generate new projections of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet
-
climate scientists and artificial intelligence experts to generate new projections of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine
-
human activity in the region, partly due to the dramatically reducing summer sea-ice extent, increases vulnerability to high impact weather. Mitigating these risks demands better forecasts, but to make more
-
deliver the first comprehensive assessment of current and future high-impact extreme weather events in Antarctica and their associated risks. Key risks include impacts of extreme weather on vulnerable ice
-
of the arrival of the Europa Clipper (NASA) and Juice (ESA) missions. There is scope to improve the accuracy of these models by studying the fundamental properties of ice in a new ices laboratory. Applicants