Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Biology
- Mathematics
- Science
- Engineering
- Materials Science
- Social Sciences
- Arts and Literature
- Chemistry
- Linguistics
- Law
- Psychology
- Education
- Humanities
- Business
- Electrical Engineering
- Environment
- Sports and Recreation
- Earth Sciences
- Design
- Statistics
- 13 more »
- « less
-
computer cluster. The successful applicant will also contribute to disseminating the results at conferences and meetings. Your profile You must have obtained a PhD degree in physics or a closely related
-
. Ideal candidates will have a progressive research agenda aimed at accelerating uptake of evidence-based practices using innovative approaches and rigorous methods. This is a 12-month Assistant Professor
-
A fully-funded 3.5-year PhD studentship (covering UK home student fees and an annual stipend of £21,805) is available in Applied Mathematics for Formulated Products. The PhD will be under
-
Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role The PhD student will contribute to a large industrial research collaboration with a major
-
. This interdisciplinary research project, at the intersection of computer science and educational sciences, aims to develop innovative methods for automatically analysing, comparing, and aligning educational competency
-
autonomous systems that collaborate effectively while controlling what outside observers can infer? In this PhD project, you will develop security-aware planning and control methods for multi-agent cyber
-
position within a Research Infrastructure? No Offer Description A call is open for the allocation of 1 Research Grant for a PhD student under the R&D the research activities will be carried out within
-
be based in the Department of Computer Science and the National Centre for Text Mining. Develop biomedical NLP methods for mechanism extraction Design and implement methods for extracting biomedical
-
focuses on developing cutting-edge statistical/machine learning methods for fitting complex network models to partially observed hospital infection data, leveraging patient movement data. This research will
-
feedback loops into the circulation framework. Construct explicit coupling methods to link the vascular models with state-of-the-art disease progression frameworks. Perform global sensitivity analyses (Sobol