Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Sheffield
- University of Glasgow
- University of Oxford
- KINGS COLLEGE LONDON
- UNIVERSITY OF SURREY
- Cranfield University
- Durham University
- Imperial College London
- Nature Careers
- ;
- Imperial College London;
- King's College London
- Manchester Metropolitan University
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of Cambridge;
- AALTO UNIVERSITY
- Birkbeck, University of London;
- Cardiff University
- Harper Adams University
- Heriot Watt University
- Hult
- Nottingham Trent University
- Plymouth University
- Queen Mary University of London;
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Technical University of Denmark
- The University of Edinburgh;
- Ulster University
- University of Birmingham;
- University of Bristol
- University of Nottingham
- University of Surrey
- 23 more »
- « less
-
Field
-
Jackson and other colleagues at the Edinburgh Parallel Computing Centre. Your work would combine software and technique development which a focus on the processing of voluminous point cloud datasets (> 100
-
comfortable working within a matrix management structure. You will have experience working strategically in a busy and fast-changing environment, managing several activities in parallel. You will have strong
-
. This stems from a fundamental lack of understanding of the basic biology underlying this process. While flies have emerged as powerful tool to investigate tumour growth and identify cancer related pathways
-
focused upon supporting this important work, ensuring that legal, financial and reputational risks are identified and managed, thereby supporting Imperial’s governance and risk management processes and
-
of patients, medications fail and surgery is the only cure. But surgery only works if we can confidently locate the "lesion" causing the seizures. Current 1.5T/3T MRI and FDG-PET scans fail too often leaving
-
wind energy penetration. The successful candidate will lead the design and implementation of scalable energy system model that enhance grid flexibility, resilience, and economic efficiency. In parallel
-
processes involved in clinical trials. They should have good computer skills with experience in one or more statistical programming languages, and excellent communication skills suitable for working with a
-
parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line
-
due to reading week, and one other week TBD). Duties include assisting students as they work through pre-prepared pen and paper/computer based introductory research methods exercises including tasks
-
and impacts of UK and Northwestern Europe's atmospheric circulation processes. The results of these models will be compared with parallel experiments carried out using Global Climate Models by the other