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collaborate with two postdocs specialising in experimental mechanics and materials science and PhD students. About You You should have a PhD degree in Computational Mechanics or a relevant subject (e.g
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and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying
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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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Vitro Models. The project aims to use organ-on-a-chip technology combined with bioengineering approaches to develop, validate and use a suite of vascularised human tendon-chip models. These high quality
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the boundaries of neural interface research towards an engineered biology approach. About You The successful candidate will hold a PhD in chemistry, molecular biology, or biomedical engineering (or a related field
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sensing, signalling and memory, critically influences the disease onset and progression1. The Iskratsch Group , at the School of Engineering and Materials Science, Queen Mary University of London is
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people with dementia and their families alongside a strong background in research within applied health or care research. This includes experience in working with NHS sites for research including applying
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of inflammation on therapy resistance in colorectal cancer. Our lab is focused on understanding the cellular and molecular mechanisms promoting metastasis and therapy resistance in colorectal cancer. We use single
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, epidemiology, or statistics. The post-holder should have experience analysing data in large developmental cohort studies, experience with using structural equation modelling and network modelling applied
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the ability to work on your own initiative and to act pro-actively. You will also be confident in the use of Microsoft Word and Teams, meeting targets, and with hybrid working. Experience of having