Sort by
Refine Your Search
-
Listed
-
Employer
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- ;
- King's College London
- UNIVERSITY OF SOUTHAMPTON
- University of Nottingham
- University of Oxford
- Imperial College London
- Queen's University Belfast
- The University of Edinburgh;
- The University of Southampton
- University College London
- University of Exeter
- University of Liverpool
- University of London
- University of Oxford;
- 5 more »
- « less
-
Field
-
will then analyse complex patterns of data and derive an optimal set of items to form a smart self-report instrument. This two-year project is fully funded by the Hearing Industry Research Consortium
-
the research team to develop solutions for adapting CCS2 chargers for marine electrical vessels and optimizing DC fast charging technology for marine applications. As a Research Engineer (Electrical Engineering
-
to optimize treatment for female genital schistosomiasis. The post holder will join the LSHTM Schistosomiasis Research Group. The duties of the post will involve coordinating and writing ethical approval
-
to optimize treatment for female genital schistosomiasis. The post holder will join the LSHTM Schistosomiasis Research Group. The duties of the post will involve coordinating and writing ethical approval
-
optimal experimental design methods to establish a realistic set of experiments for characterising microbial growth within time and cost constraints. There is significant flexibility in the post with scope
-
need optimally. Finally, in a multi-site study, we will test whether using this system and escalation pathways leads to better outcomes. We are seeking an enthusiastic, ambitious, clinical researcher
-
who is at risk of deterioration. We will then investigate how to use this information to escalate the care of women in need optimally. Finally, in a multi-site study, we will test whether using
-
are included but clinical medical themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data