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Field
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continuous lifetime treatment. Recent efforts to cure HIV infection have focused on developing latency reversing agents as a first step to eradicate the latent reservoir and animal models are being studied
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. Yet, many stellar and planetary parameters remain systematically uncertain due to limitations in stellar modelling and data interpretation. This PhD project will develop Bayesian Hierarchical Models
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, or toxicity. These issues stem from the rigid, hydrophobic, and synthetically challenging frameworks typical of complex NPs. In this project, we aim to overcome these limitations by using biocatalysis, a green
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and model inaccuracy. This role is dedicated to solving this problem, building an embedded plume-in-grid contrail model for use in an operational weather model - supporting technological solutions
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models that represent and reason about complex biological systems, enabling predictions and interventions that can alter system behaviour in desired ways. For example, why do cells respond differently
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shading or relocation. Addressing this gap requires the integration of physiological models, environmental sensing, and data-driven forecasting, tools that can provide the predictive power urgently needed
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position aims to conduct holistic modelling and analysis of integrated energy systems to reach optimal system performance while incorporating various sustainable energy infrastructures. Potential research
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24 Nov 2025 Job Information Organisation/Company Swansea University Department Central Research Field Computer science Engineering » Aerospace engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country United Kingdom Application Deadline 3 Dec 2025 - 23:59...
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an increasingly complex development environment. Areas to consider that impact the modelling are: Framework Language Process How wide / how deep i.e. what do we model and why? How much provides a good answer i.e
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propagate through bacterial communities while deactivating AMR genes. However, current designs are limited by scalability and complexity. This project aims to overcome these limitations by integrating large