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, genes, and pathways involved in sensing water in the model plant Arabidopsis. Building on our previous work (Mehra et al., Science, 2022), we aim to understand how hormone-driven pathways help roots
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project to reveal the interaction of galaxies and their cosmic web environment with hydrodynamic simulations based on our new SWIFT code and COLIBRE, a novel state-of-the-art galaxy formation model. You
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Research Associate/Fellow position at the School of Mathematical Sciences, Nottingham, for the duration of 3 years. The project deals with the development of mathematical tools and models to determine the
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discoveries (Mehra et al., Science, 2022), this project aims to identify novel genes and regulatory pathways involved in sensing water availability in the model plant Arabidopsis thaliana. We are particularly
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of healthcare, that will serve as a model to other health systems. Researchers in the Business School are leading on the policy and implementation components of this work, and the successful applicant
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, 268002 (2021)]. We will use innovative experimental techniques employing particle tracking of model 2D vibrated particles to test fundamental theoretical concepts in statistical physics. The successful
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metrology, with expertise in quantum state discrimination and parameter estimation and/or in-process metrology and conventional optical microscopy, as well as image processing and model development
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materials, notably wear, fretting, and thermo-mechanical fatigue. Experimental studies to support these modelling activities are also of great interest to the group. Visualisation of multiphase fluids with
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substantial deliverables. Ideal candidates will also have expertise in renewable energy, energy in buildings, the impact of occupants on energy use and data acquisition and analysis. Energy modelling expertise
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quantitative and digital methods, such as descriptive/inferential statistics, data modelling, machine learning (ML), experimental prototyping and technology ideation. A significant degree of autonomy is required