Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Cambridge
- ;
- AALTO UNIVERSITY
- University of Birmingham
- University of Birmingham;
- University of East Anglia
- University of Nottingham
- University of Warwick;
- ; University of Warwick
- Abertay University
- Imperial College London
- Loughborough University
- Newcastle University
- Swansea University;
- The University of Edinburgh
- The University of Edinburgh;
- The University of Manchester
- The University of Manchester;
- University of Bristol
- University of East Anglia;
- University of Newcastle
- University of Sheffield
- University of Sussex;
- 14 more »
- « less
-
Field
-
Optimizing Routes in Unpredictable Environments Robotics Research Group Adaptive and Continual Learning for Socially Intelligent Robots Designing Evolutionary Games for Therapeutic Interaction End-user
-
methods to improve systems, and ML research develops such methods. Major gains are made when the development of ML and systems are symbiotic and co-optimized. This is relevant across a broad spectrum of
-
effective energy management system (EMS) is then necessary to monitor the states and optimize the use of HESS, consequently enhancing the eVTOL’s desired performance. The state-of-the-art review indicates
-
particular, we will use topology and shape optimisation methods to compute the optimal domain shapes that can stabilise solutions with desired/prescribed properties. We will use methods from inverse problems
-
: Establish a tailored enzyme panel for site-selective late-stage functionalization of complex NP scaffolds. Optimize biocatalytic reactions to generate a focused library of new NP analogues. Evaluate
-
this project will deliver unique knowledge to develop strategy aiming at enhancing root nodule symbiosis and, thus optimizing nitrogen nutrition, whilst ensuring long-term agricultural sustainability. To achieve
-
, but current methods are not always efficient or optimal. The process lacks an intelligent, informed approach to selecting the best grinding parameters, which can lead to inefficient maintenance actions
-
, there is a critical need to develop and implement life cycle carbon accounting tools and optimization techniques tailored to the specific operations and materials used in the pipe industry. This PhD is co
-
situ, with direct structure determination, and (ii) investigating and optimizing methods for chirality determination using electron crystallography. Candidate We are looking for a highly motivated and
-
communities are correlated with take-all severity Using these insights, you will target key microbial players for isolation and perform microbiome swaps to interrogate what an ‘optimal’ community of bacteria