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across Europe as well as to disseminate the project results at national and international conferences. The CRMD provides multi-disciplinary expertise ranging from mathematical modelling to chemistry
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to join the Environment & Health Modelling (EHM) Lab (https://www.lshtm.ac.uk/ehm-lab ) led by Prof Antonio Gasparrini. The successful candidate will work on the project CONNECT – Cohort and environmental
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Environmental Engineering, and will have the following responsibilities: Development and implementation of hardware and software; Data analysis and modelling; Coordination of field measurement and data analysis
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infectious agent responsible for 8.7% of out-patient managed exacerbations of COPD (8.7%). Using both traditional cell culture approaches and advanced 3D airway cell models, this project will investigate if a
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/rehabilitation applications. It is expected that the application has the knowledge of: 1) deep learning, large AI models, large language models; 2) the rendering techniques for generating human body animations
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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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can successfully predict previously-unknown regulators of seed development through functional genetic analysis of conserved, uncharacterised genes in the model seed plant Arabidopsis thaliana
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. Expertise in one or more of the following areas would be an advantage: Life cycle assessment, Life cycle social assessment, Techno-economic modelling, Materials flow analysis, Energy storage or battery supply
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models, and contributing to the dissemination and publication of research findings. The role also involves working in tandem with the Head of Product Policy and the Group Head of Strategy and Planning
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extracellular histone, a damage-associated molecular pattern that is implicated in adverse outcomes after injury. This project will include using a range of clinically relevant models as well as in vitro