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 Birmingham
- The University of Manchester
- University of Sheffield
- ; 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
-
/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
-
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
-
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
-
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
-
on cell viability and DDR activation in established human cell models. The student will perform CRISPR screens to determine factors that affect resistance/sensitivity and follow these up with mechanistic
-
chromatin profiling methods along with CRISPR/Cas9-meduated cell line engineering and various animal models. You will study the effects of the activation or depletion of chromatin-modifying enzymes using