Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- ;
- KINGS COLLEGE LONDON
- Durham University
- AALTO UNIVERSITY
- University of London
- University of Cambridge
- DURHAM UNIVERSITY
- Heriot Watt University
- King's College London
- UNIVERSITY OF VIENNA
- Imperial College London
- University of Nottingham
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Manchester Metropolitan University
- Royal College of Art
- University of Glasgow
- University of Liverpool
- ; University of Cambridge
- Aston University
- Lancaster University
- Liverpool School of Tropical Medicine;
- Nature Careers
- Oxford Brookes University
- Royal College of Art;
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Sheffield Hallam University
- University of Bath
- University of Birmingham
- University of Cambridge;
- University of Leicester
- University of Oxford;
- University of Sussex
- University of West London
- 24 more »
- « less
-
Field
-
technologies for future particle vertexing and tracking silicon detectors. In close collaboration with other UK universities and STFC laboratories, as well as in partnership with international institutions and
-
responsibilities. Experience Essential: E1. Experience of planning and progressing work activities within professional guidelines or organisational policy, applying initiative and independent judgement. E2. Track
-
techniques from statistical physics, Bayesian inference, and complex systems theory to address challenges posed by noisy and incomplete data. Depending on the results obtained in the first year, the post can
-
processes, Bayesian inference, signal models, sampling theory, sensing techniques, optimisation theory and algorithms, multi-modal data processing, high-performance computing, mathematical image analysis
-
related to gravitational wave astronomy. The primary aim will be the development of advanced approaches for computational Bayesian Inference to measure the properties of Compact Binary Coalescence signals
-
emerging areas, and currently covers the following topics: Signal and image processing theory Statistical signal processing, non-stationary processes, Bayesian inference, signal models, sampling theory
-
, depression, and loneliness, and how mental health vulnerabilities increase susceptibility to polarization. Leveraging network science, NLP, behavioral sensing, and causal inference, the project pioneers new
-
methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon
-
of these approaches, and how to generate robust inferences. We would expect you to be highly skilled at using programming languages such as R or Python. It is important for you to have a track record of implementing
-
of approximately 100 staff members organized in eight research units with fMRI, EEG, fNIRS, VR, eye-tracking, physiology, and brain stimulation facilities. The interdisciplinary Methods of Psychology Lab currently