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policy briefings Contribute to development of implementation strategies and evaluation plans Supervise students working on related research themes Contribute to developing and refining models, methods, and
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algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with
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John Williamson, and Dr Sebastian Stein. The job requires the proven ability to develop novel theory and build and evaluate working interactive prototypes involving complex computational models
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integrate complex flow on Discrete Fracture Networks (DFN). The objective of this project is to develop a tool to generate DFN models amenable for multiphase flow, and scale up the model to be usable with
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of next-generation AI agent architecture in complex and dynamic environments. Collaborate with academic and industry partners, including potential joint projects with institutions to drive interdisciplinary
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complex multiphysics problems, and want to drive meaningful change through research - this might be the role for you! This is your opportunity to work on high-impact projects—from modelling fluid flow in
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remission as a model of flare vs remission with a 50% relapse rate. Initial data analysis has taken place using the 10x Chromium single cell sequencing identifying putative cellular subpopulations
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, internationally recognized for its high-impact research, investigates new techniques and technologies for engineering advanced biomaterials and complex 3-dimensional (3D) tissue models applied to musculoskeletal
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provide guidance to MSc and PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Person
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funding Contribute to public understanding of issues impacting families and children with complex and interconnected needs Main Duties The responsibilities may include some but not all