Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- ;
- AALTO UNIVERSITY
- Imperial College London
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Oxford
- Durham University
- UNIVERSITY OF VIENNA
- City University London
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Liverpool
- University of Newcastle
- CZECH UNIVERSITY OF LIFE SCIENCES
- DURHAM UNIVERSITY
- Heriot Watt University
- Kingston University
- Queen's University Belfast
- UNIVERSITY OF SOUTHAMPTON
- University of Birmingham
- University of Cambridge
- University of London
- University of Oxford;
- 11 more »
- « less
-
Field
-
breakwaters under varied sea conditions. 2. CFD and Finite Element Modeling Perform Computational Fluid Dynamics (CFD) simulations to optimize the design and performance of floating breakwaters. Develop finite
-
changes in the overall national supply chain structures to resilience, and suggest interventions, together with those informed via stakeholder consultation in WP1, for finding optimal solutions to mitigate
-
challenge, making energy-efficient computing a critical research priority. This project addresses this challenge through a novel co-design approach that simultaneously optimizes both hardware and software
-
, determining optimal ways for groups of buildings to share resources and benefits. You will investigate and quantify trade-offs between individual objectives and collective outcomes, focusing on scalability
-
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
-
through long-term impact assessment and optimization. The goal is to develop a framework to estimate carbon emissions across AI's development, operation, and use. This framework enables stakeholders
-
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
-
and ground), and boasts expertise in controlling and deploying them in practice, as well as in designing coordination strategies for them. Our recent work on ML-based co-optimization demonstrates some
-
for their expression in plant colonizing bacteria and integrating them into the chromosomes of appropriate chassis. Control systems will be designed to restrict expression to target plants and ensure optimal expression