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et al, Leukemia 2018; Poynton et al, Blood Adv 2023; Coulter et al, J Mol Diagn 2024). The wet lab/computational biology postdoc will lead a project investigating residual follicular lymphoma cell
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About the Role This Postdoctoral Research Associate position is an exciting opportunity to join the Centre for Advanced Robotics at Queen Mary (ARQ) within the School of Engineering and Materials
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clinical workflows and validate the established systems in tandem with clinical partners. About You You will possess a PhD (or be nearing completion) in mechanical, electrical, or biomedical engineering, or
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will use UK based electronic health records data to examine the causal effects of treatments by emulating, benchmarking and extending randomized trials in observational data. The post-holder will be
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About the Role The School of Electronic Engineering and Computer Science at Queen Mary University of London is looking to recruit a Postdoctoral Research Assistant to support the projects led by Dr
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epidemiological research. Strong quantitative data analysis skills and applied understanding of epidemiological principles are required. They must possess excellent interpersonal communication skills and be
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cancer in Barrett’s esophagus. Experience in analysing large datasets in R is essential but will also involve the use image analysis software such as Qpath. About You We seek an ambitious and self
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close to completion) in Materials Science, Physics, Chemistry, Nanotechnology, Electrical Engineering, or a closely related field, with a strong background in the synthesis and characterisation of 2D
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by the Humane Research Trust, aims to completely humanize research into this widespread, untreatable condition. It will use human vascular smooth muscle cells and arterial rings along with a range of
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the utilisation of upcoming facilities such as the Square Kilometre Array Observatory. The Astronomy Group specifically focuses on applying advanced Artificial Intelligence (AI) methods to astrophysical research