11 condition-monitoring-machine-learning Fellowship positions at Trinity College Dublin
Sort by
Refine Your Search
-
Undertaking (IHI JU), SEARCH boasts an initial budget of over €15.2 million. SEARCH aims to develop high-quality synthetic datasets that simulate real healthcare data for research, AI, and machine learning
-
at Trinity College Dublin (TCD) seeks to appoint an outstanding, enthusiastic, and highly motivated Research Fellow who will contribute to a project that uses machine-learning methods to forecast
-
. The successful candidate will be expected to follow a curriculum of learning to achieve a rounded education in all aspects of rare bone conditions with the option to complete a designated research project. To
-
software testing and Machine Learning components. This research will have real-world impact through close collaboration with industry partner and offers the opportunity to contribute to cutting-edge
-
change across the EU and Africa. It is funded by the Wellcome Trust and Environmental Protection Agency (EPA). Understanding, monitoring and responding to the climate crisis, relies on a robust evidence
-
Responsibilities of the Post Conduct research and development on sign language recognition using computer vision and machine learning techniques. Lead the implementation of inference models suitable for mobile and
-
group is investigating skin allergy related to medical devices. Continuous glucose-monitoring devices and insulin pump systems have become an essential component of the management of diabetes, a chronic
-
of hardware performance under simulated real-world conditions. Application Procedure Applicants should submit a full Curriculum Vitae to include the names and contact details of 2 referees (including email
-
(saturation) conditions conducive to pool boiling, flow boiling, and condensation. Frequent collaboration with other project team members is anticipated. In addition, some of the research tools and experiments
-
research and evaluation of the work. Post Status: Specific Purpose Contract – Full time Hours of Work: Full time, 39 hours Application Procedure Applicants should submit a full Curriculum Vitae to include