Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- ;
- University of Bergen
- Nanyang Technological University
- University of Nottingham
- National University of Singapore
- Australian National University
- Colorado State University
- Zintellect
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Nature Careers
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Singapore Institute of Technology
- The University of Queensland
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Arkansas
- University of South-Eastern Norway
- University of Texas at Austin
- ; Technical University of Denmark
- Academia Sinica
- Cranfield University
- Hong Kong Polytechnic University
- Hong Kong University of Science and Technology
- Imperial College London
- Indiana University
- King Abdullah University of Science and Technology
- Macquarie University
- Marquette University
- NTNU - Norwegian University of Science and Technology
- QUEENS UNIVERSITY BELFAST
- Queensland University of Technology
- Simons Foundation/Flatiron Institute
- The Norwegian Polar Institute
- The University of Western Australia
- UiT The Arctic University of Norway
- University of Birmingham
- University of British Columbia
- University of Oklahoma
- University of Waterloo
- University of Wollongong
- Western Norway University of Applied Sciences
- 31 more »
- « less
-
Field
-
candidate will work in an interdisciplinary research group with both experimental activities and numerical modelling. The PhD candidate’s tasks will primarily be experimental, to conduct hydrate sealing
-
calculations. In this collaboration, the experimental work will be carried out at the University of Salford, whereas the mathematical analysis and numerical modelling will be done at Nottingham. The work will be
-
, multidisciplinary facilities for studying cellular and animal disease models. It also maintains numerous collaborative research links across the UCL Queen Square Institute of Neurology, UCL, the UK, and
-
project´s overall objective is to provide an experimental and numerical framework to predict CO2 gas hydrate self-sealing in geological formations. Our multi-scale approach is cross-disciplinary and aims
-
interdisciplinary research group with both experimental activities and numerical modelling. The PhD candidate’s tasks will primarily be to model and simulate CO2 hydrate sealing in sediments but also to take part in
-
or a numerate discipline OR equivalent experience. Broad knowledge of probabilistic models, Bayesian inference and machine learning methods. Good knowledge of R, Python or both (links to project source
-
how people estimate quantities. The project combines theoretical modeling with behavioral experiments to advance our understanding of the cognitive processes that connect our sense of magnitude with
-
of the art in mathematical and numerical modelling of CO2 storage? This might be the right position for you! About the project/work tasks: About the project TIME4CO2 TIME4CO2 aims at advancing simulation
-
modeling formation dry-out and salt precipitation during CO2 storage. The candidate will work on developing numerical models for salt precipitation at pore- to continuum-scale, with special focus on how
-
calculations. In this collaboration, the experimental work will be carried out at the University of Salford, whereas the mathematical analysis and numerical modelling will be done at Nottingham. The work will be