119 molecular-modeling-or-molecular-dynamic-simulation positions at University of London
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About the Role A Postdoctoral Research Assistant (PDRA) is sought to join the musculoskeletal organ-chip research team within Queen Mary’s Centre for Predictive in vitro Models. This 23-month post
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project is to develop a series of surrogate models focusing notably on Physics-Informed Neural Networks to emulate the process of sediment deposition, diagenesis, and potentially fracturing, working closely
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leading clinical and non-clinical scientists researching the cellular and molecular basis of inflammation, rheumatic, and cardiovascular diseases. The Centre is based within the picturesque Charterhouse
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), which houses the in vitro models centre alongside cell culture, biochemistry, microscopy and molecular biology labs. Details about the school and multidisciplinary bioengineering research activity can be
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extracellular histone, a damage-associated molecular pattern that is implicated in adverse outcomes after injury. This project will include using a range of clinically relevant models as well as in vitro
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enteric pathogen Campylobacter jejuni; the leading bacterial cause of human gastroenteritis globally. This post aims to apply molecular and phenotypic methodologies to characterise the C. jejuni Type VI
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. The successful candidate will have a Postgraduate degree, ideally a doctoral degree in a relevant topic in parasitology, zoology, molecular epidemiology, diagnostics or related topic, in-depth knowledge
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2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based
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, dynamic and growing discovery research group as a postdoctoral researcher. The postholder will work in Dr Knuepfer’s group, whose team explores molecular mechanisms of red blood cell invasion by malaria
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using neurophysiological techniques and molecular biology approaches to study pain and somatosensation. Our team aims to foster synergies in research approaches and encourages mutual support between