Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ; Imperial College London
- ;
- ; City, University of London
- ; UCL
- ; University of Greenwich
- ; Cranfield University
- ; Northeastern University London
- UNIVERSITY OF EAST LONDON
- ; Great Ormond Street Hospital for Children NHS Foundation Trust
- ; Max Planck Institute for Human Cognitive and Brain Sciences
- ; University of Southampton
- ; University of West London
- Imperial College
- Investigating digital technology and the role of AI and big data in product development
- The Design Society
- University of East London
- University of West London
- 7 more »
- « less
-
Field
-
(or international equivalent) in Electrical and Mechanical Engineering or related disciplines. A Master’s thesis or equivalent in Electrical Machines and industrial experience would be desirable. We are seeking
-
machine learning to CFD-generated datasets. The ideal applicant is a fresh graduate in engineering or in a closely related discipline, with a track record of achievements at the top of their cohorts
-
simulation. Candidates should possess a strong foundation in quantum mechanics, atomic physics and experimental techniques. Prior experience with lasers systems, microwave technology or quantum optics would be
-
Faculty of Computing, Mathematics, Engineering & Natural Sciences Funded PhD Project (UK or International Students) Funding provider: Northeastern University London (NU London) Subject areas
-
3 Apr 2024 Job Information Organisation/Company Imperial College Department Earth Science and Engineering Research Field Engineering » Other Researcher Profile Recognised Researcher (R2) Country
-
and Technology at City, University of London has partnered with Cosmo Intelligent Medical Devices (world-leading company in the design of AI-based medical devices for endoscopy) to offer a Doctoral
-
when the project commences. Applications are invited from candidates with (or who are expected to gain) a first-class honours degree or equivalent in a suitable field such as engineering, computer
-
to accelerate its interdisciplinary research in the humanities, social sciences, and computing, maths, engineering and natural sciences. Each scholarship is fully-funded for three and a half years (UKRI rates
-
). The PhD candidate will work in an exciting international environment in the heart of the City of London. They will join the School of Science and Technology at City, University of London (member of the Alan
-
technology of this type in Europe), including in situ mechanics and dedicated software solutions available at the Centre for Advanced Materials and Manufacturing (CAMM) as well as the Centre for Advanced