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of causal inference and machine learning models linking transport, energy, and environmental outcomes • Conduct advanced econometric and statistical analyses of large behavioural and spatial datasets
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to the development of causal inference and machine learning models linking transport, energy, and environmental outcomes • Conduct advanced econometric and statistical analyses of large behavioural and spatial
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management, organizing the WP3 weekly meetings and keeping minutes, work to secure data sharing agreements and Memorandum of Understanding with industry partners and E-DLB consortium, work together
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to support fast growing capacity requirement, driven by future applications and services for 6G and beyond. Networks are also evolving to support a large variety of signals across larger access and metro
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for this position (Max 1 A4 Page) and a full Curriculum Vitae (CV) with the names and contact details of 2 referees including email addresses), by e-mail with the subject line “Chemistry EPE Position
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. The role includes supporting the hardware and software infrastructure required to acquire high-quality health data, ensuring system reliability, and advising on improvements through the integration of novel
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data-driven, scalable, and policy-relevant methods to understand and track the impacts of climate change—particularly heat—on maternal and child health. This role sits at the interface of epidemiology
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Post Summary The successful applicant will have an opportunity to carry out studies in ageing and conduct research from the health assessments and other data collected as part of The Irish
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Researcher scales [from €46,805 per annum] **Post Status:**Specific Purpose Contract – Full-time. Further Information for Applicants: The positions are full-time and available for an immediate start date
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, data management infrastructure and productive engagement with partners, stakeholders and colleagues. The Fellow will also work with the PI, engagement officer and collaborators to develop and deliver