Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Cambridge
- Imperial College London
- University of Oxford
- AALTO UNIVERSITY
- University of Newcastle
- Heriot Watt University
- University of Liverpool
- University of Sheffield
- ; University of Cambridge
- THE HONG KONG POLYTECHNIC UNIVERSITY
- University of Nottingham
- Aston University
- Durham University
- KINGS COLLEGE LONDON
- Nature Careers
- UNIVERSITY OF MELBOURNE
- University of Leicester
- 8 more »
- « less
-
Field
-
The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory
-
, and dynamic individual who is a team worker, has a positive outlook, and is adaptable and flexible in their working methods. It is also essential that you are highly experienced in setting up continuous
-
Location: South Kensington About the role: The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple
-
release on these projects can be found at the following link . This position’s focus is on developing engineered systems and methods to quantify the physical interactions between migrating cancer cells and
-
academic performance in undergraduate and, where applicable, Master’s coursework Advanced programming skills in R and Python Familiarity with econometric techniques, especially panel data methods Ability
-
of childhood cancer death. You will work on the INSTINCT-MB programme, which brings together teams based at Newcastle University, The Institute of Cancer Research and University College London. The programme
-
Trust. The successful candidate will work closely with the PI and a PhD student within a larger cross-disciplinary team to construct a quantitative computational model of carbonate biomineralisation
-
. Understanding of relevant methods, debates and literature for the study of biopolymers. Effective communication skills, both written and verbal, including by email, teleconference, and in-person meetings
-
, working with legacy print, manuscript, and digital sources. You will apply and adapt digital methods (especially TEI XML), analyse provenance data, disambiguate historical agents, and contribute
-
and Primary Care and Medical Genetics. They will support and conduct analyses of complex datasets, involving both the development of novel analytical methods and the application of existing techniques