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Computational Modelling and Data Analytics. This pivotal role is designed to enhance the Computational Modelling efforts within UL's research centres, with a particular focus on the Pharmaceutical and
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Post Summary This position is funded by the ‘Urban Greening Plan plus (UGP+)’ Horizon Europe project, renamed as Urban Nature Plan+ (UNP+)’. We use both acronyms here until the UGP+ acronym is fully phased out. About UGP+ / UNP+ UGP+ / UNP+ aims to mainstream and strengthen biodiversity,...
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12 Months, Specific Purpose, Whole-Time Post Position Summary Applications are invited for the Research Assistant in the Energy Policy & Modelling Group to join the MaREI Centre in University
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12 Months, Fixed-Term, Whole-Time Post Position Summary The Energy Policy and Modelling Group is recruiting Post-Doctoral Researcher to grow our research in energy systems modelling, particularly in
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19 Months, Fixed-Term, Whole-Time Post Position Summary Applications are invited for the role of a Post Doctoral Researcher - energy systems analyst and modeller. The research project, SHIELD, is
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team and participate in our vibrant research community here at CSIT. Project Title: Fault-tolerant Wireless Time Sensitive Networks This project builds on our ongoing work on modelling and simulating
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). This work is part of a larger project aiming to develop novel battery thermal management systems (BTMS). The main tasks include (i) The development of an integrated model for the BMS-BTMS
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candidate will lead the design and modelling of thermally regulated DNA motifs and contribute to the development of an automated and renewable DNA computing prototype. The role encompasses both wet-lab and in
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domains: Computer Vision for Industrial Environments Generative AI and Foundation Models in Advanced Manufacturing Agentic AI for Intelligent Decisions AI for Cybersecurity Selected candidates will lead
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projects by providing initial investment, world-class teams, and state-of-the-art infrastructure. Our model empowers visionary leaders to accelerate drug development and harness AI-driven innovation