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models. The project’s key objectives are to: 1) Identify critical indicators relating to ecosystem health and resilience; 2) Incorporate indicators into DBN models to simulate how ecosystems respond
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at the genomic level by examining the variation in copy numbers of ecologically relevant genes, differential selective pressures on key genes, and changes in gene expression regulation related to nitrogen
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similar languages) Experience with large-scale neural network simulations Experience with analysing large-scale neural recordings Familiarity with neuroanatomy and neurophysiology Knowledge of dynamical
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-on experience with real-world SCADA data, industry collaboration with RES Group, and training in high-fidelity simulation environments (OpenFAST, Digital Twin technology). This opportunity is ideal for those
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Investigator: 1. Contribute as part of an interdisciplinary team to the creation, quality control, and usage of a novel full-scale digital twin dataset for the UK and related simulation infrastructure. 2
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, and simulations across physics, chemistry, and engineering. Applicants should have, or be expected to gain, a high (1st or 2:1) honours degree in Physics or Chemistry. Fixed-term: The funds
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, please provide a cover letter explaining why you are a suitable candidate, including what you consider are the main challenges for the health and care workforce. Please also include a copy of your CV
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experiment, theory, and numerical simulations in the department of physics at the University of Exeter. The research question is how to effectively shape electromagnetic radiation when the wavelength reaches
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landscapes, including our partners at the UK CEH. Eligible candidates must have a background in simulation modelling and a proven ability to communicate results. They should have obtained, or will soon obtain
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projects, international collaborations, and experimental campaigns using software-defined radios and UAV operation platforms. The project offers mix of theoretical development, simulation-based research, and