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team, the PhD student will support the development of discrete choice experiments in two countries, and agent-based modelling, as we plan to model how doctors make job choices among alternative hospitals
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study. The student would be based in the Department of Computer Science in the Faculty of Environment, Science and Economy at the Streatham Campus in Exeter. Computing systems increasingly operate in
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progress. In this project, you will characterise the microbial, metabolic, and functional composition of FMTs used to treat patients. Your aim will be to identify the key bioactive agents within donor
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into ionic conduction, gas permeation, and degradation in PVA-based membrane electrolytes. Investigate the impact of chemical and mechanical agents on the ionic conduction, gas permeation, and degradation
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such as Prolific. Some knowledge of computational modelling and predictive analytics, such as cross-validation or evolutionary agent-based models. Residency requirements: This studentship is primarily aimed
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-associated virus (AAV)-based gene therapy to promote neuroprotection, slow disease progression and promote recovery of lost function in preclinical models of ALS. We will block components of the DNA damage
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infinite extent models and limited extend data based on trust over particular sets, and naturally create explainable AI structures which can further be analysed from a verification and validation perspective