Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- University of Cambridge
- ; The University of Manchester
- ; University of Birmingham
- ; University of Nottingham
- ; Manchester Metropolitan University
- ; Swansea University
- ; The University of Edinburgh
- ; University of Leeds
- ; University of Surrey
- ; University of Warwick
- ; Cranfield University
- ; Loughborough University
- ; Newcastle University
- ; University of Essex
- ; University of Exeter
- ; University of Sussex
- Imperial College London
- ; Anglia Ruskin University
- ; Aston University
- ; Lancaster University
- ; UWE, Bristol
- ; University of Bradford
- ; University of Bristol
- ; University of East Anglia
- ; University of Liverpool
- ; University of Oxford
- ; University of Reading
- ; University of Southampton
- ; University of Strathclyde
- ; University of York
- KINGS COLLEGE LONDON
- King's College London
- Newcastle University
- UNIVERSITY OF VIENNA
- University of Newcastle
- University of Oxford
- 29 more »
- « less
-
Field
-
1 and 2 and NQCC Testbed programme, will tailor the developed benchmarking approaches to error-corrected as well as distributed quantum computers, addressing the need for scalable benchmarks
-
support brain imaging experiments (i.e., fMRI studies) in collaboration with a postdoc on the project, understanding how these biases might emerge in the brain. You will join the project at its earliest
-
relationship between brain structure, myelin distribution and genetic factors in MS. Research Focus: Recently, computational pipelines have been developed to integrate genetic and imaging databases
-
approach could resolve this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat
-
mapping using a team of highly mobile legged or legged-wheeled robotic platforms. The research will investigate advanced algorithms for multi-robot coordination, dynamic path optimization, and collaborative
-
autonomous by embedding machine learning algorithms to search through different reaction parameters Person Specification Candidates should have been awarded, or expect to achieve, EITHER: A Bachelors degree in
-
instruments and use them together with graduate students and postdocs to acquire data on DNA replication and/or chromatin organization. An aptitude in instrumentation development and quantitative biophysics, a
-
of epigenetic changes to the DNA as biomarkers of biological age. Validation of Biological Age Biomarkers: validate a short-form of the assessments from Phase 2 and develop an AI model and algorithm-driven
-
prototype/demonstrator of a low-cost smart sensor. To develop an efficient algorithm to process the vibration signals locally and to develop the firmware to be embedded within the sensor node. To validate
-
) of high-value critical assets. Through this PhD research, algorithms and tools will be further improved and developed, validated and tested. It is expected that combining the domain knowledge and the