Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; The University of Edinburgh
- University of Cambridge
- University of Nottingham
- University of Oxford
- ; Cranfield University
- ; Swansea University
- ; The University of Manchester
- UNIVERSITY OF VIENNA
- University of Newcastle
- ; Loughborough University
- ; University of Greenwich
- ; University of Leeds
- ; University of Nottingham
- ; University of Reading
- ; University of Southampton
- Abertay University
- Imperial College London
- University of Liverpool
- University of Sheffield
- ; Newcastle University
- ; University of Birmingham
- ; University of Bradford
- ; University of Bristol
- ; University of Cambridge
- ; University of Kent
- ; University of Oxford
- ; University of Stirling
- ; University of Surrey
- ; University of Warwick
- Heriot Watt University
- KINGS COLLEGE LONDON
- 23 more »
- « less
-
Field
-
atomic physicist and quantum sensor developer, Dr Anna Kowalczyk, and a developmental neuroscientist, Dr Barbara Pomiechowska, at Birmingham BabyLab, in collaboration with an industrial partner, FieldLine
-
candidate will explore programmable, AI-enhanced networking frameworks designed to meet the evolving demands of Industry 5.0. This includes developing novel architectures that combine Software-Defined
-
, resourceful PhD candidate, with knowledge in aircraft power systems and IT skills in MATLAB/Simulink and other related software. Applicants should have achieved or be expecting to achieve a 1st or a 2:1 in an
-
the power of AI/ML and software-defined networking (SDN), and distributed learning methodologies, the research will focus on creating self-configuring, self-optimizing, and self-healing mechanisms for real
-
modelling and simulation techniques and software packages would be an advantage. Programming skills in languages such as Python, C++, MATLAB, are desirable, as is an awareness of machine learning or other AI
-
using force plates and strain gauges. Use of statistical analysis software packages. Funding Eligibility: This studentship is only available to students with settled status in the UK, as classified by
-
plates and strain gauges. Use of statistical analysis software packages. Funding Eligibility: This studentship is only available to students with settled status in the UK, as classified by EPSRC
-
. Experience with molecular dynamics software such as LAMMS is desirable. Experience with molecular simulation software is beneficial. To apply please contact Dr Siperstein - flor.siperstein@manchester.ac.uk
-
, with expertise in fluid mechanics and heat transfer Experience with OpenFOAM simulation software Programming skills with software such as Matlab and/or Python How to apply Please send an email with
-
a relevant field (Architecture, Construction, Environmental Sciences) Knowledge of building physics, retrofit strategies, and energy performance Experience with dynamic thermal modelling software (IES