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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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developed a suite of modelling tools together with an internationally recognised expertise in their development and usage. Multiple ongoing projects including CAPACITY and SELFS projects will further develop
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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, 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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allocation and thermal management to achieve optimal performance (iii) Model-in-the-Loop (MIL) validation to simulate components and connected systems to predict thermal behaviour and system
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developed by the Offshore Renewable Energy group to model project scenarios. • Collaborating with team members to adapt simulation tools based on project needs. • While primarily contributing to the IDEA-IRL
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possible co-appointment in the Department of Computer Science. The project combines theoretical and experimental approaches to develop renewable DNA computing devices that perform multiple computations in a
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to rigorously assess unconventional or early-stage models • Programming/simulation fluency (Python/NumPy, Wolfram, or similar) Bonus if you have: • Experience with information theory or entropy-based field