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that may well deliver on this goal but require rigorous research at limited scale to provide our models with the data needed to ensure predictions are robust. The REFLECT team is undertaking a programme of
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this 24-month project. The project aims to design and deliver a disruptive technical innovation programme that embeds advanced Machine Learning, AI and software engineering techniques within the procurement
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range of research activities in the field of mRNA processing including the analysis of alternative splicing and polyadenylation as well as mRNA methylation using a Drosophila genetic model. The post
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deliver this 24-month project. The project aims to design and deliver a disruptive technical innovation programme that embeds advanced Machine Learning, AI and software engineering techniques within
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research focused on investigating the biological effects of proton versus photon radiation. Key responsibilities include developing and implementing 2D and 3D in vitro cell model systems to facilitate a
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BACKGROUND Assessing the impact of different models of integrating new or extended roles into primary care: A comparative analysis of England and Scotland OVERALL PURPOSE OF THE ROLE This post is
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robot platforms and develop teleoperation interface to provide haptic feedback and guidance on human operations. This will encompass robotic dynamics modelling, impedance control, haptic feedback design
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assemblies. This project will use the instrument to measure how many of a given AAV product have filled capsids versus empty and we will compare the data to the efficacy of the drug in animal models. What can
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just about code or data models, but human dignity, social justice, and academic freedom – values that the University of Manchester lives by. By ensuring our identity processes are compassionate, compliant, and
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how these interact functionally with DNA replication and transcription. The project will include a wide range of functional assays and will utilise unique patient-derived spheroid and xenograft models