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project investigating mechanosensing in Diptera. This post will focus on using detailed wing geometry models and kinematic measurements in computational fluid and structural dynamics simulations to recover
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of transposable elements and must be organised, highly self-motivated and have excellent communication and interpersonal skills. The post holder will be expected to prepare manuscripts using high-quality data and
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experimental approaches to develop and validate novel in vitro and ex vivo approaches that model arterial medial calcification without using any animal products. This work will represent an exciting step forward
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holder will join a multidisciplinary, diverse, and inclusive team with frequent meetings, interactions, and high-quality mentoring. About You You will have a PhD (or close to completion) in developmental
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responsibilities will include: Pre-registering data analysis plans; Leading and conducting advanced statistical analyses (e.g., twin/family designs, genomic and epidemiological methods, longitudinal modelling
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infrastructure enables recruitment of 200-300 severely injured patients annually as part of the ACIT study. We also have a well-established experimental modelling group with full ethical approvals in place for all
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responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal
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policies. The Unit aims to improve population health and food environments through research and impact on the nutritional quality of food and drink, with a track record of success in reducing salt and sugar
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techniques like Raman spectroscopy, AFM, SEM, XPS, and electrical measurements such as Hall effect, four-point probe, and current-voltage (I-V) testing. A proven track record of high-quality research
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desirable if the post holder has experience in the development of production-quality software, computational Bayesian inference, and strong communication skills. For more information see the detailed job