Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Cambridge
- University of Oxford
- University of Sheffield
- AALTO UNIVERSITY
- University of Birmingham
- University of Liverpool
- University of Newcastle
- University of Nottingham
- ; University of Bath
- Aston University
- DURHAM UNIVERSITY
- Heriot Watt University
- Imperial College London
- KINGS COLLEGE LONDON
- Loughborough University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- UNIVERSITY OF SURREY
- University of Glasgow
- University of Leicester
- University of Wolverhampton
- 11 more »
- « less
-
Field
-
. The School of Architecture, Computing and Engineering (ACE) at the University of East London (UEL) is deeply embedded in London’s dynamic and diverse communities. Known for its innovative, impact-driven
-
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
-
duties involve supporting computational infrastructure, coordinating with wider spectroscopic project teams and external science users, contributing to documentation and user manuals, and collaborating
-
the MPhil/PhD Programme can be found here: https://www.lincoln.ac.uk/course/socscirp/ . One of our project goals is to contribute to diversifying suicide research and related knowledges and practices
-
, environmental data science, or a closely related STEM discipline Demonstrated expertise in urban spatial data analytics, with proficiency in GIS software (e.g. QGIS, ArcGIS) and geospatial methods Experience in
-
to learn unfamiliar tools as needed (e.g. GitHub, APIs, new libraries). Familiarity with econometric techniques, especially panel data methods. Clear, concise written and verbal communication skills. Ability
-
Programme: Hybrid CFD and process simulation for process intensification of post-combustion CO2 capture School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof
-
statistics, health economics, or in a scientific discipline relevant to healthcare (assessed at: application) Have demonstrated experience in relevant research methods, for example through publications in peer
-
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