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our staff as an Assistant Professor / Lecturer in Global Development at the Centre for Global Development. The person appointed will have a proven record of teaching, research and publication
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outstanding education are interlinked and equally valued. Professor Lorna Lopez and Professor Andrew Coogan invite applications for the position of research assistant on the “Ambient-BD” research project (https
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technology (processing and packaging), food rheology, food analysis and quality assurance, product development, food microbiology, food chemistry, food safety and authenticity, food policy, food marketing, and
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Astrophysics/Computer Science. The successful applicant will join the star and planet formation research group led by Dr Emma Whelan. For more information on the work of the group please see https
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star and planet formation research group led by Dr Emma Whelan. For more information on the work of the group please see https://www.maynoothuniversity.ie/physics/our-research . This position is part of
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quality assurance, product development, food microbiology, food chemistry, food safety and authenticity, food policy, food marketing, and/or taste and sensory science:(http://www.maynoothuniversity.ie/study
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the Republic of Ireland. For selected topics, such as the planning and development pipeline, a data audit and comparison will be undertaken with respect two additional countries. The successful candidate will have
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of the Network, including helping to develop policies and procedures for the new Network, coordinating day-to-day management activities, supporting public engagement and stakeholder communication, monitoring and
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modelling, urban energy systems, and energy communities. The successful candidate will play a key role in the design, development, and implementation of quantitative models and analytical frameworks to assess
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data-driven net zero carbon energy system. The appointee will support the development of data architectures, analytics tools, and interoperability frameworks aimed at integrating building energy data