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preclinical models of bone repair, histology, or flow cytometry would be highly advantageous but not essential. An excellent publication record and/or development of intellectual property would also be
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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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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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leadership on the use of generative AI for developing the machine learning model, system integration and deployment, analysis and optimisation, working closely with the Principal Investigator and managing
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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
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the CFD component of the DETECT project and support other aspects of the project (management, reporting and fieldwork). The overall project aims to assess coastal vulnerability and model it using a
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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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“Multiscale modelling of soil-structure interaction for renewable energy applications”. An improved understanding of soil-structure interface behaviour can lead to significant cost savings for offshore wind
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. Strong background in fermentation models that mimic the gut environment and analysis of associated metabolites. LanguagesENGLISHLevelExcellent Additional Information Work Location(s) Number of offers
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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