Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- Loughborough University
- University of Birmingham
- University of Birmingham;
- University of East Anglia
- University of Nottingham
- ;
- Imperial College London;
- Newcastle University
- The University of Edinburgh
- The University of Manchester
- UCL
- University of Exeter
- University of Sheffield
- University of Warwick;
- Imperial College London
- KINGS COLLEGE LONDON
- King's College London
- Kingston University
- Oxford Brookes University
- Swansea University;
- University of Bristol;
- University of Cambridge;
- University of Exeter;
- University of Hull
- University of Hull;
- University of Oxford
- University of Oxford;
- University of Surrey
- University of Warwick
- 20 more »
- « less
-
Field
-
. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
-
speed - Provide human experts with a reliable second opinion This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace
-
methodology to generate confidence in such decision, potentially reducing maintenance costs and down-time for offshore wind energy production. The images taken by each drone are loaded into the pre-processing
-
power consumption. Many emerging biomedical devices, such as non-invasive and indwelling systems, require reliable operation and continuous feedback on biochemical conditions at the device–tissue
-
which mimics the ageing process. Moreover, we will apply state-of-the-art Single Cell Proteomic technology (with Alex Von Kriegsheim, IGC) on oocytes to profile the global protein expression and aim
-
and technology. Desirable (not essential): Research experience in sports medicine and technology (e.g. publication or final year project). Programming skills in MATLAB or Python. Application Procedure
-
will establish a new, more sustainable design philosophy for network intelligence, moving from bespoke model engineering to a "one foundational model, many specialised agents" paradigm. By providing a
-
A competition-funded PhD studentship is available in the School of Chemistry at the University of Birmingham to develop and apply nuclear magnetic resonance spectroscopy and imaging to advance
-
, they can utilise temporal and spatial diversity whilst simultaneously exploiting shared, intelligent adaptive signal processing whose combined performance and resilience can easily exceed that of the sum
-
(computer vision technologies). The interdisciplinary nature of this PhD will require the integration of environmental science, engineering, and community science methodologies. Supervisors: Primary