Sort by
Refine Your Search
-
Listed
-
Employer
- KINGS COLLEGE LONDON
- University of Cambridge;
- University of Newcastle
- AALTO UNIVERSITY
- Imperial College London
- Imperial College London;
- NORTHUMBRIA UNIVERSITY
- Northumbria University;
- University of Birmingham
- University of Glasgow
- University of Liverpool
- University of Sheffield
- Aarhus University
- Heriot Watt University
- Heriot-Watt University;
- King's College London
- Queen Mary University of London
- Sheffield Hallam University
- Sheffield Hallam University;
- The Medicines And Healthcare Products Regulatory Agency;
- University of London
- University of Oxford
- University of Strathclyde;
- 13 more »
- « less
-
Field
-
microbial biotechnology components into designs for a 3D bioreactor, whilst also optimising co-culturing methods and post-growth materials testing and characterisation. These materials will incorporate
-
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
-
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
-
the UK Lead on participant recruitment and conduct qualitative research using participatory methods and semi-structured interviews Analyse data, contribute to co-design workshops, write reports, and
-
two-dimensional materials by gate-tunable scanning tunneling microscopy (STM). Typical examples of these materials include van der Waals monolayers of transition metal dichalcogenide superconductors
-
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
-
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
-
to software security, open-source software development and formal methods Work successfully in an inter-organisational team including industrial partners Disseminate the project results and present the research
-
collection and analysis relevant to community engagement and innovation (e.g. qualitative methods, user feedback, platform analytics). C7: Self-motivation, initiative, and the ability to work independently and