Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Newcastle
- Imperial College London
- University of Cambridge
- AALTO UNIVERSITY
- KINGS COLLEGE LONDON
- University of Sheffield
- University of Oxford
- ; University of Cambridge
- Durham University
- Heriot Watt University
- Heriot-Watt University;
- Nature Careers
- THE HONG KONG POLYTECHNIC UNIVERSITY
- University of Cambridge;
- University of Liverpool
- University of London
- University of Nottingham
- 8 more »
- « less
-
Field
-
• Experience in developing wave or tidal energy or similar field • Simulation experience in finite element analysis and/or hydrodynamics and/or time domain simulation such as Matlab SIMULINK • Ability
-
statistics, health economics, or in a scientific discipline relevant to healthcare (assessed at: application) Have demonstrated experience in relevant research methods, for example through publications in peer
-
, unit reliability analysis, and shared variance component analysis (SVCA) Create comprehensive data visualisations and perform statistical analyses to assess stability and plasticity of multisensory
-
interest in expanding their knowledge in both domains. (1) Geometry/Topology -related methods in computer science. (2) Machine Learning. (For example, graph neural networks, generative networks, or neural
-
). Experience with qualitative research methods (e.g., ethnography, qualitative interviews, focus groups, or participatory design). Knowledge of sustainability issues impacting the medical devices industry
-
studies and interactive AI systems. This position will be funded based on an initial 2-year contract + 2 years extension. The key idea is to apply theories, models, and methods from psychology to improve
-
visual and auditory cortices using techniques such as cross-modal decoding, unit reliability analysis, and shared variance component analysis (SVCA) Create comprehensive data visualisations and perform
-
that require treatment while reducing unnecessary detection of slow-growing cancers. You will play a key role in a large mixed methods project as a qualitative researcher conducting focus groups, interviews and
-
You will join the EPSRC-funded project “Behavioural Data-Driven Coalitional Control for Buildings”, pioneering distributed, data-driven control methods enabling groups of buildings to form
-
to work with an international team on developing cutting-edge novel demographic, statistical and computational methods in estimating, modelling and forecasting measures of health, well-being, and human