Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- University of Cambridge
- ; Swansea University
- ; The University of Edinburgh
- ; University of Exeter
- Imperial College London
- ; Loughborough University
- ; Manchester Metropolitan University
- ; Newcastle University
- ; University of Birmingham
- ; University of Cambridge
- ; University of Leeds
- ; University of Nottingham
- ; University of Oxford
- ; University of Warwick
- ; Aston University
- ; Brunel University London
- ; Cranfield University
- ; Technical University of Denmark
- ; University of Bradford
- ; University of Bristol
- ; University of East Anglia
- ; University of Essex
- ; University of Reading
- ; University of Sheffield
- ; University of Southampton
- ; University of Surrey
- ; University of York
- Abertay University
- Harper Adams University
- KINGS COLLEGE LONDON
- Newcastle University
- University of Liverpool
- University of Oxford
- 27 more »
- « less
-
Field
-
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
-
to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About
-
Project summary: A transition to net zero is desirable overall, but its costs and benefits are unevenly distributed across time, space, and between individuals, and policy to implement it must be
-
considered. Experience of using machine learning algorithms and toolsets, ideally in a research context. Strong programming skills (e.g., Python, Java, C++). An interest in physiological signals. Home Student
-
subsurface and internal temperature distributions. Semi-destructive approaches, such as embedding thermocouples by drilling holes, can provide internal data but often disrupt the process, alter the thermal
-
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
-
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
-
animals, while Prof Durbin's works on computational genomics and large scale genome science, including the development of new algorithms and statistical methods to study genome evolution. Moving forward
-
memorisation capabilities of deep learning models. Such vulnerabilities expose FL systems to various privacy attacks, making the study of privacy in distributed settings increasingly complex and vital