91 machine-learning "https:" "https:" "https:" "https:" "https:" "Bournemouth University" positions at Trinity College Dublin in Ireland
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
of the role is intended to provide structured learning and development within a defined period, after which the employee is expected to progress to the next stage of their career. As such, the role is not
-
from Monday, 13th July 2026. This role is designated as a specifically designed training position for medical doctors. The nature of the role is intended to provide structured learning and development
-
. The nature of the role is intended to provide structured learning and development within a defined period, after which the employee is expected to progress to the next stage of their career. As such, the role
-
designed training position for medical doctors. The nature of the role is intended to provide structured learning and development within a defined period, after which the employee is expected to progress
-
) commensurate with qualifications / experience and in line with Public Sector Pay Policy [€42,925 to €102,556 per annum] https://www.tcd.ie/hr/assets/pdf/monthly-academic.pdf How to Apply: Applicants should
-
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
-
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
-
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