Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of London
- University of Liverpool
- University of Oxford
- DURHAM UNIVERSITY
- Queen Mary University of London;
- UNIVERSITY OF VIENNA
- University College Cork
- University of Liverpool;
- AALTO UNIVERSITY
- Durham University
- Durham University;
- KINGS COLLEGE LONDON
- University College Dublin
- University of Nottingham
- Heriot Watt University
- Heriot-Watt University;
- King's College London;
- Liverpool School of Tropical Medicine;
- Nature Careers
- Plymouth University
- The University of Edinburgh;
- University of Cambridge;
- University of Lincoln
- University of Oxford;
- 14 more »
- « less
-
Field
-
principles from natural evolution, such as modularity, gene amplification, or cooperation, to help engineered organisms explore richer evolutionary pathways Martin Spinck – The Spinck group explores biological
-
solvers • Implementing and analysing online optimisation algorithms for real-time grid balancing • Liaising with project partners (NESO and University of Strathclyde) Essential selection
-
to trace how welfare algorithms operate in practice. They will also contribute to comparative analysis across case study countries, support interdisciplinary collaboration, engage with external stakeholders
-
learning models to accelerate mixed-integer solvers Implementing and analysing online optimisation algorithms for real-time grid balancing Liaising with project partners (NESO and University of Strathclyde
-
, with nearly 40 permanent academic staff working within and across social, evolutionary and health anthropology. Each year, we welcome over 130 undergraduate students and around 70 postgraduate students
-
modern genetic datasets and functional genetics now available to trace the evolutionary history of production and sustainability traits over 10,000 years. Using selection analyses, the research will
-
Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials
-
and data processing skills: experience of programming in one or more languages (e.g. R, C/C++, Python, Matlab). Practical experience of algorithm development and implementation of machine learning
-
under the supervision of Professor Rachel Humphris. They will lead in-depth ethnographic fieldwork in the Netherlands, undertaking interviews and participant observation to trace how welfare algorithms
-
algorithms to understand how perturbations to dynamic brain networks impact seizure likelihood. With an emphasis on the emerging field of digital twins for personalised health, the ultimate aim is to translate