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We are seeking a full-time Postdoctoral Research Assistant in Physics-Based Modelling of Advanced Batteries to join the Department of Engineering Science under the supervision of Prof Charles Monroe
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-based workshops; and System Dynamics Modelling, to understand how to maximise the contribution of Nature Based Solutions to climate change adaptation in the UK through multifunctional landscapes in
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wastewater to tackle the environmental threat of AMR. You will have a PhD (or close to completion) in modelling complex systems or a closely allied discipline along with experience in creating, writing
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. Research will focus on identifying and publishing results in methods to build foundation models, using multimodal and multiscale health data. The role is funded for 24 months in the first instance. About You
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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/statistical modelling, numerical/data analysis, and programming using Python or other languages a motivation to engage in systems approaches to understand complex risks Contact details for advert Contact Name
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an industry partnered project for translational drug discovery. The role will involve analysing large scale omics and spatial datasets from both primary patient samples and advanced in vitro model systems
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for the game changing impact of our science globally. Click here to find out more about working at the John Innes Centre. About the Howard Group: The Howard group combines mathematical and biophysical modelling
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interdisciplinary team of researchers. You will have excellent communication skills, and the ability to explain complex ideas to a variety of different stakeholders, including policy makers. About the Project You
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of mole activity and soil health and biodiversity, collecting data on visitor perceptions of moles and their management, and analysing findings using statistical modelling approaches. The role provides