100 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" positions at Trinity College Dublin in Ireland
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
learning. This role demands a proactive approach to curriculum design, a keen understanding of market and societal trends, and the ability to anticipate and incorporate future advancements in the role
-
accordance with the Department of Finance guidelines.” https://www.tcd.ie/hr/employee-services/pay-scales/ How to Apply: To assist the selection process, applicants should submit a Curriculum Vitae and a Cover
-
success Trinity Research About the Project: The post holder will be part of a multidisciplinary research team, based at St James’ Hospital in Dublin, working on studies related to interventions (drug and on
-
Post Summary The Trinity St James’s Cancer Institute (TSJCI) is Ireland’s first OECI-accredited comprehensive cancer centre, integrating clinical care, education, and research across specialties
-
community sites as directed by the IPE team. The primary physical location of the role is on the St James’s Hospital campus, but flexibility to work across multiple campus locations will be required
-
causal machine learning, transport behaviour analysis, and residential energy demand modelling to support sustainable urban and energy policy. The researcher will contribute to the design, implementation
-
combining causal machine learning, transport behaviour analysis, and residential energy demand modelling to support sustainable urban and energy policy. The researcher will contribute to the design
-
the Head of Discipline at St. James’s Hospital / Tallaght University Hospital and Coombe Hospital. The main purpose of the post is to support the delivery of the undergraduate teaching programme in
-
own initiative and resolve problems. Closing Date: 12 noon (Irish Standard Time) 30th January 2026 Application will only be accepted by applying online through the Trinity Jobs Portal https
-
econometric and machine learning frameworks to analyse the causal relationships between transport behaviour, residential energy consumption, and environmental outcomes in urban systems. The successful candidate