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In 2025, the University of Nottingham’s Rights Lab and King’s College London launched the Leverhulme Centre for Research on Slavery in War. The Centre aims for far-reaching insights that transform global responses to slavery in conflict settings. The role-holder will be part of the Centre’s...
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Location: University Park In 2025, the University of Nottingham’s Rights Lab and King’s College London launched the Leverhulme Centre for Research on Slavery in War. The Centre aims for far-reaching insights that transform global responses to slavery in conflict settings. The role-holder will be...
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Position Description Flatiron Research Fellow, Biophysical Modeling, Center for Computational Biology Flatiron Institute - Simons Foundation Location 162 5th Avenue, NY, NY 10010 Open Date Sep 16
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• Possess a PhD in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines) by December 2024. • Strong knowledge and
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1. A PhD degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Systems Engineering, etc. 2. The candidates should have strong math, modeling, programming, and
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numerical models. • Perform simulations using OpenFOAM, or other relevant computational tools, including HPC platforms. • Analyse and validate simulation results, and publish research
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discrete choice modelling, behavioural data science or machine learning? Are you interested in developing the next generation of AI tools that accelerate scientific discovery while maintaining behavioural
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on integrating multimodal large language models (LLMs) with embodied AI. This position will involve the development and deployment of Vision-Language-Action models for real-world robotic applications, such as
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particular, you will develop new computational and methodological approaches for advanced behavioural modelling using large-scale datasets. The successful candidate will have the opportunity to develop new
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The Research Fellow (RF) will conduct research in the field of coastal dynamics, with a focus on the development and application of machine-learning-enhanced coastal models. The project aims