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PhD-studentship in Applied Mathematics / Quantitative Ecology: Wind‑Assisted Dispersal of Insect Tree Pests: An Interdisciplinary Modelling and Ecological Study Award Summary 100% home fees covered
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This interdisciplinary PhD project will bring together mathematics and ecology to assess the risk of invasive tree pests being transported into Great Britain by wind. While biosecurity measures largely focus on trade
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to develop, because all of the features associated with the small- and large-molecule drug components must be optimised together. Computational mathematical modelling is used to make the optimisation of ADCs
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a lack of a coherent and mathematically rigorous methodology for how health, environmental and population exposure and vulnerability data can be combined to optimally issue warnings in order to
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work — and how to design better ones. Why apply for this PhD? Work on the next-generation AI hardware beyond traditional computing architectures. Gain a unique combination of skills in mathematics
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PHAETHON CoE invites applications for Fully Funded PhD Studentship
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) Familiarity with image transforms, entropy coding or noise characterisation Funding and Eligibility: Funded PhD. UK Student Supervisors Dr Jay Warnett (WMG) Dr Randa Herzallah (Mathematics)
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awareness These funded PhD scholarships are suitable for students with a background in Computer Science, Mathematics, Engineering and Cognitive Science. Students with interests in machine learning, deep
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Pirashvili (mariam.pirashvili@plymouth.ac.uk) 3rd Supervisor Dr Sean James Fallon (sean.fallon@plymouth.ac.uk, tel.: +441752584836) Applications are invited for a 3.5-year EPSRC funded UDLA PhD studentship
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machine-learning-based surrogate models to accelerate design and control workflows. This PhD studentship would suit candidates with backgrounds or interests in engineering, physics, applied mathematics