40 algorithm-development-"Multiple"-"Prof"-"Simons-Foundation" positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Sheffield
- Cranfield University
- Newcastle University
- University of Oxford
- Durham University
- Imperial College London
- KINGS COLLEGE LONDON
- Regent College London, part of the Regent Group;
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Oxford;
- ;
- Aston University
- Aston University;
- Cranfield University;
- King's College London
- Loughborough University
- Newcastle University;
- University of Exeter;
- University of Glasgow
- University of Surrey
- 10 more »
- « less
-
Field
-
world to demonstrate noncontact monitoring of oxygen saturations in clinical environments using webcams Developing and implementing an evidence-based early warning score system (SEND) in multiple NHS hospitals Over
-
Regent College London, part of the Regent Group; | London, England | United Kingdom | about 2 months ago
leading independent higher education provider, offering flexible and inclusive learning across multiple London campuses. We are student-focused, digitally forward, and committed to academic excellence
-
Regent College London, part of the Regent Group; | London, England | United Kingdom | about 2 months ago
leading independent higher education provider, offering flexible and inclusive learning across multiple London campuses. We are student-focused, digitally forward, and committed to academic excellence
-
tuition fees. This PhD project in the area of autonomy, navigation and artificial intelligence, aims to advance the development of intelligent and resilient navigation systems for autonomous transport
-
modes (e.g., HCCI) for net-zero fuels like hydrogen and ammonia. A key innovative pillar is the development of an AI-driven control strategy. Machine learning algorithms, including reinforcement learning
-
-sensitive data augmentation and mining Manage multiple stakeholders, meet deadlines, and integrate project outputs into DeltaXignia’s workflows with training Balance technical development and commercial goals
-
. Expected outcomes include: development of novel algorithms that significantly improve predictive accuracy for equipment failure; creation of scalable monitoring systems that reduce operational costs
-
The KTP project will enable DeltaXignia to augment their Compare and Merge software capability by leveraging Artificial Intelligence (AI). Their current offer is built using mathematical algorithms
-
demonstrated ability to work within a geographically distributed networks of collaboration Proven experience in developing and implementing machine learning models and algorithms, ideally in the healthcare
-
demonstrated ability to work within a geographically distributed networks of collaboration Proven experience in developing and implementing machine learning models and algorithms, ideally in the healthcare