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of health economics researchers based at the University of Oxford’s Nuffield Department of Primary Care Health Sciences (NDPCHS). The successful candidate will help develop and deliver a portfolio of health
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participants Ideally, practical skills in one of (a) programming, (b) machine learning, and/or (c) design Responsibilities Developing and conducting novel research projects individually and on teams Developing a
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sequencing technologies - including metagenomics and transcriptomics - to explore the dynamic interplay between human gene expression and microbial communities. The successful candidate will develop and apply
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components, with enhanced functionalities capable of gathering extra optical information. The proposed project is to design flat metamaterial optics [1,2,3] and utilise their increased functionality to develop
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multivariable statistical methods. Support for skills development is provided within the Horse Microbiome Research Group and the university’s Doctoral College . Delivery of this project in collaboration with
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sustainability goals whilst improving operational efficiency? This PhD studentship will involve developing machine learning models, creating virtual manufacturing replicas, and implementing optimisation algorithms
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as structural members when deployed make a good basis for a deployable structure. The two main aims of this project are to develop novel designs and manufacturing methods for foldable composite
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. This would include those with experience in economics/econometrics seeking to explore epidemiology and policy analysis, those with statistical skills in epidemiology wishing to develop skills in economics and
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ambitious new project on the safe deployment of medical imaging AI. The purpose of the role is to conduct world-leading research on AI for medical imaging. The goal is to develop methodologies and
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formulations to provide functionalities including pH, stability and viscosity control, sensory profile, texturing and structuring. In this project, we are seeking to develop the next generation of biopolymer