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theoretical basis for modelling functional biodiversity, based on eco-evolutionary optimality (EEO) theory. The PDRA will be explicitly responsible for statistical analysis of plant trait data and the
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an integrated model of plant carbon allocation, based on eco-evolutionary optimality theory. The PDRA will be explicitly responsible for designing an approach to evaluate and model carbon allocation to non
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This is a Research Fellow post to support the NIHR funded programmes OPtimal Timing of Induction of labour to improve Maternal and perinatAL outcomes (OPTIMAL): An individual participant data meta
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Design and Manufacturing Engineering to Tackle Global Sanitation Challenges - MSc by Research or PhD
for engineers who can seamlessly integrate design optimization with advanced manufacturing techniques. This multidisciplinary field combines mechanical engineering, materials science, and manufacturing technology
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for those eager to pioneer AI-integrated hardware and contribute to next-generation intelligent systems. AI and ML are revolutionizing electronic system design, optimization, and security, fueling innovations
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nanomaterial-nucleic acid hybrids for optimal device bio- and gas sensing, as well as for optoelectronic applications. About You The candidate will have experience in materials science research and ideally DNA
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, gender identity, national origin, disability, or veteran status. The Position Based in Trowbridge, UK, the Lead Scientist will join the Product Development team to optimize and develop new products and
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). The ideal candidate will have: A PhD in environmental science or closely related discipline by the start date of the appointment Broad understanding of eco-evolutionary optimality concepts and modelling
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: Any (Belfast, Coleraine, Derry~Londonderry) (Hybrid) (Permanent / Full-time) Job Purpose: The role holder will specialise in Azure, leading in architecting, implementing, and optimizing cloud solutions
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opportunity to contribute to the development of novel strategies for neuronal analysis in health and disease and optimizing new methods. The project is funded by the Motor Neuron Disease Association for 3 years