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an efficient and mature technology, yet it requires high temperatures and has a large carbon footprint. This PhD project addresses a key challenge: efficiently producing bio-methanol from abundant
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diagnostic innovation. This PhD is a great opportunity for anyone interested in applied research, molecular biology, plant science, and working closely with a large UK life science company. You will be
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research, molecular biology, plant science, and working closely with a large UK life science company. You will be supervised by Dr Jenny Tomlinson (Fera Science Ltd) and Dr Thomas Howard (Newcastle
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a robust modelling framework to simulate future changes in water resources in North and East England, using a combination of physically-based hydrological modelling tools and water system models
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overcoming significant technical hurdles: a) Adaptive Fault Monitoring: Traditional systems fail to identify root causes in multi-modal data streams; this project utilizes federated learning and graph neural
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in Process Industries; Net Zero (PINZ’) as the programme of study You will then need to provide the following information in the ‘Further Details’ section: A ‘Personal Statement’ (this is a mandatory
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’) as the programme of study You will then need to provide the following information in the ‘Further Details’ section: A ‘Personal Statement’ (this is a mandatory field) - upload a document or write a
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study. You will then need to provide the following information in the ‘Further Details’ section: A Personal Statement: one side of A4. The studentship code in the ‘Studentship/Partnership Reference
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highly desirable. Experience with green infrastructure, nature-based solutions, bioretention/rain gardens, or environmental data analysis will be an advantage. Enthusiasm for field research, the ability
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, stormwater/SuDS design, soil-plant-water interactions, or plant ecophysiology is highly desirable. Experience with green infrastructure, nature-based solutions, bioretention/rain gardens, or environmental data