91 machine-learning "https:" "https:" "https:" "U.S" positions at Trinity College Dublin
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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
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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
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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
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Senior Research Funding Specialist (focus on Interdisciplinary Research in Climate & Sustainability)
- €90,865 per annum) and in 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
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: Appointment will be made on Assistant Professor Salary Scale (109) commensurate with qualifications / experience and in line with Public Sector Pay Policy [€42,925 - € 102,556 per annum] https://www.tcd.ie/hr
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(€46,874 - €58,667 per annum) and in accordance with the Department of Finance guidelines.” https://www.tcd.ie/hr/employee-services/pay-scales/ How to Apply: Interested applicants should (i) submit a full
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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
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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
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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
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position is available to work in the area of Digital Twins for optical networks, making use of intelligent AI-driven control planes. The applicants should have a solid theoretical background on machine