Sort by
Refine Your Search
-
Listed
-
Employer
- University of Nottingham
- ;
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Imperial College London
- Nature Careers
- Plymouth University
- UNIVERSITY OF SOUTHAMPTON
- University of Leeds
- University of Liverpool
- CRANFIELD UNIVERSITY
- CZECH UNIVERSITY OF LIFE SCIENCES
- Edinburgh Napier University;
- Lund University
- NORTHUMBRIA UNIVERSITY
- QUEENS UNIVERSITY BELFAST
- Queen's University Belfast
- The University of Southampton
- UCL;
- UNIVERSITY OF SURREY
- University of Birmingham
- University of Exeter
- University of Hertfordshire;
- University of London
- University of Nottingham;
- University of Oxford
- University of Plymouth;
- University of Sheffield
- 17 more »
- « less
-
Field
-
adjustments or a more accessible format to apply for this job online or have any queries about the application process, please contact the HR Administrator. About you A strong candidate will have: A numerate
-
to starting the post. Expert knowledge of gravitation. This should include one or more of the following: gravitational-wave modelling or data analysis, black hole perturbations, mathematical or numerical
-
/VR applications (e.g., babylon.js, A-Frame, etc.) will be an advantage Experience in developing XR app for teaching & learning/training. Experience developing optimized modules in C#/C++ within Unity
-
Unit (PenCTU), and identify and develop research ideas and develop these into funding proposals. Have a PhD in biostatistics or related subject with a numerate or computational component (including
-
hours and location. We pride ourselves on diversity and inclusivity, holding numerous awards for gender and race equality, disability confidence, and research excellence. We also hold the HR Excellence
-
closure days including closure between Christmas and New Year. Our reward scheme grants bonuses of numerous values for excellent work We are committed to staff development through the provision of training
-
proposals. Have a PhD in biostatistics or related subject with a numerate or computational component (including machine learning, data science, mathematics or a computational science), or a postgraduate
-
will then analyse complex patterns of data and derive an optimal set of items to form a smart self-report instrument. This two-year project is fully funded by the Hearing Industry Research Consortium
-
the research team to develop solutions for adapting CCS2 chargers for marine electrical vessels and optimizing DC fast charging technology for marine applications. As a Research Engineer (Electrical Engineering
-
systems and ultimately aims to broaden their uptake for urban energy supply. Working as part of a multi-disciplinary project team, featuring engineers, hydrologists, numerical modellers and policy liaisons