Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- University of Nottingham
- ;
- University of Cambridge
- ; Swansea University
- The University of Manchester
- University of Sheffield
- ; The University of Manchester
- ; University of Birmingham
- ; University of Southampton
- AALTO UNIVERSITY
- University of Manchester
- University of Newcastle
- ; City St George’s, University of London
- ; The University of Edinburgh
- ; University of Exeter
- ; University of Nottingham
- ; Cranfield University
- ; Newcastle University
- Newcastle University
- University of Exeter
- ; University of Surrey
- ; University of Warwick
- Imperial College London
- KINGS COLLEGE LONDON
- UNIVERSITY OF VIENNA
- University of Bristol
- University of Cambridge;
- ; Brunel University London
- ; Loughborough University
- ; University of Bristol
- ; University of Cambridge
- ; University of East Anglia
- ; University of Oxford
- ; University of Sheffield
- Harper Adams University
- The University of Edinburgh
- UCL
- University of Exeter;
- University of Liverpool
- University of Warwick
- ; Aston University
- ; Coventry University Group
- ; Imperial College London
- ; Manchester Metropolitan University
- ; St George's, University of London
- ; University of Plymouth
- ; University of Strathclyde
- Abertay University
- Brunel University London
- Coventry University Group;
- King's College London;
- Kingston University
- Lancaster University;
- Loughborough University;
- Manchester Metropolitan University
- Nature Careers
- The University of Edinburgh;
- The University of Manchester;
- UWE, Bristol
- University College London
- University of Birmingham
- University of Glasgow
- University of Greenwich
- University of Hertfordshire
- University of London
- University of Nottingham;
- University of Oxford
- University of Sheffield;
- University of Strathclyde;
- University of Surrey
- University of Warwick;
- 62 more »
- « less
-
Field
-
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
-
sources such as (i) atmospheric models, (ii) satellite remote sensing, (iii) land use information, and (iv) meteorological data. The aim of this PhD is to develop and implement models for integrating data
-
Form (see below) After submitting your Personal Statement, CV, transcripts, samples of writing and references through the application portal, please complete and email a copy of the NWSSDTP Equal
-
/or dynamic analysis of mechanical/robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the-loop
-
and accuracy, ultimately saving lives. This collaborative PhD project aims to develop and evaluate advanced deep learning models for speech and audio analysis to predict Category 1 emergencies
-
physical and numerical modelling. Feel free to reach out to the project supervisors if you have any questions. Entry requirements: The ideal applicant will be enthusiastic and self-motivated with a first
-
of the assembly of these complex microbial communities using ecological theory and mathematical models. The questions we address are: (1) how does the microbial community change during cultivation
-
scientists on site and around 300 researchers in Vienna. The Brukner group currently consists of an international team of 9 young researchers (Master, PhD, and Postdoc levels). For more information, please
-
scientists on site and around 300 researchers in Vienna. The Brukner group currently consists of an international team of 9 young researchers (Master, PhD, and Postdoc levels). For more information, please
-
determine the impact of community acquired pneumonia that requires hospitalisation has on the quality of life of patients. The final stage will be to design a generic economic model to evaluate any new