Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Cambridge
- University of Newcastle
- University of Oxford
- AALTO UNIVERSITY
- Imperial College London
- ; University of Cambridge
- Brunel University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- University of Liverpool
- University of Sheffield
- ; London School of Economics and Political Science
- ; Technical University of Denmark
- Aston University
- Heriot Watt University
- KINGS COLLEGE LONDON
- UNIVERSITY OF SOUTHAMPTON
- 7 more »
- « less
-
Field
-
with a background in cognitive psychology, data science or computer science and a willingness to develop skills in computational models of cognitive processes, statistical methods, and programming (R
-
will be helpful to have a working knowledge of multi-phase flows, and in particular of abrasive slurries. The applicant will have obtained or be close to obtaining a PhD in Chemical Engineering, Colloid
-
abrasive slurries. The applicant will have obtained or be close to obtaining a PhD or have some years of relevant industrial experience in Chemical Engineering, Colloid Science, Mechanical Engineering
-
the PhD has been awarded. Fixed-term: The funds for this post are available for 18 months in the first instance. To apply online for this vacancy and to view further information about the role, please
-
the field of Computational Morphodynamics in plants. The work will be within the ERC-funded project RESYDE (https://resydeproject.org ) with the aim of building a virtual flower using multi-level data and
-
A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on experimental investigations of MILD combustion. The post holder will be located in Central
-
candidates will have a PhD (or equivalent experience) in Computer Science, electrical engineering, or other related quantitative subject. They will have a strong understanding of computer science (hardware and
-
the field of Computational Morphodynamics in plants. The work will be within the ERC-funded project RESYDE (https://resydeproject.org ) with the aim of building a virtual flower using multi-level data and
-
of our key research directions relevant for this position. Candidates should have (or be near to completing) a PhD in Computer Science or a related subject, or relevant experience. A high degree of
-
, Atmospheric Science, Physics, or a closely related discipline. *Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant. Expertise in geospatial data analysis