Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Nottingham
- ; City St George’s, University of London
- ;
- University of Oxford
- ; Swansea University
- ; The University of Edinburgh
- Cranfield University
- KINGS COLLEGE LONDON
- The University of Edinburgh
- The University of Manchester;
- UNIVERSITY OF VIENNA
- University of Birmingham
- ; Coventry University Group
- ; The University of Manchester
- ; University of Cambridge
- ; University of East London
- ; University of Nottingham
- ; University of Sheffield
- AALTO UNIVERSITY
- Bangor University;
- Brunel University London
- Imperial College London
- Newcastle University
- Oxford Brookes University
- The University of Manchester
- UNIVERSITY OF EAST LONDON
- University of Bristol
- University of Cambridge
- University of Cambridge;
- University of Exeter;
- University of Glasgow
- University of Newcastle
- University of Oxford;
- University of Sheffield
- University of Warwick
- 25 more »
- « less
-
Field
-
or machine learning. Excellent programming skills (e.g., MATLAB, Python, or ROS), a strong publication record, and an ability to work collaboratively in multidisciplinary environments are essential. Prior
-
MATLAB/Python/R etc Previous research experience with healthcare datasets or electronic health records English Language IELTS 6.5 Overall (with no individual component below 6.5) or Swansea University
-
assistantship. The ideal candidate will have a strong understanding of NLP, machine learning, and AI ethics, with proven skills in Python and frameworks like TensorFlow or PyTorch. Preference may be given
-
with coding, ideally in Python or MATLAB Funding support This studentship is open to Home students only. It is jointly supported by the Faculty of Engineering and industrial partners which is expected
-
or Abaqus (or willingness to learn) General knowledge of structural analysis and material behaviour, especially failure mechanisms Some experience with coding, ideally in Python or MATLAB Funding support This
-
-field methods) Multiscale mechanics and microstructure-property relationships Python/C++/Matlab-based simulation and data analysis Industry-facing research and technology transfer You will also benefit
-
will be an advantage if candidates have an interest in optimisation, control and computing systems, model checking, mathematical logic and good programming skills, ideally in MATLAB, Python and/or C/C
-
experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
-
experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
-
and administration. Your profile: Completed Master's / Diploma degree in the field of Astrophysics Extensive programming knowledge (Python) Excellent command of written and spoken English (C1 level