Sort by
Refine Your Search
-
Listed
-
Employer
- University of Birmingham
- University of Nottingham
- Imperial College London
- ;
- KINGS COLLEGE LONDON
- UNIVERSITY OF SOUTHAMPTON
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University College London
- University of Cambridge
- University of Manchester
- Nature Careers
- The University of Southampton
- UCL;
- University of Oxford
- University of Sheffield
- University of Stirling
- 6 more »
- « less
-
Field
-
, assembling, and testing electronic systems, and have familiarity with the principles and operation of optical imaging methods and technologies. Demonstrable skills in data processing and computer-aided design
-
for a postdoctoral position in the field of active thermography for the evaluation of composite materials and structures. The research will be conducted within the Computational Engineering & Design Group
-
of composite materials and structures. The research will be conducted within the Computational Engineering & Design Group of the Department, on a fixed term - full time contract for a duration of 20 months
-
of composite materials and structures. The research will be conducted within the Computational Engineering & Design Group of the Department, on a fixed term - full time contract for a duration of 20 months
-
industry. Our aim is to shine new light on manufacturing processes and products through developing best-in class 3D imaging. Specifically we will exploit and further develop new and upgraded beamlines
-
analysis, and may contribute to scientific publications. The CRF will work closely with the broader multidisciplinary team, including postdoctoral researchers in biomedical engineering and computer vision
-
methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system architecture, component selection, and
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About Us The Faculty of Life Sciences & Medicine brings together
-
/computational biology/molecular biology/genomics or related area. The successful candidate will have considerable experience in computational bioinformatic analysis (R, Python or equivalent) of omics data and
-
will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and