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swine ALS model. The postholder will lead wet-lab experimental work, across biophysical (MANT-ATP) and functional genomic assays (methylome, transcriptome and proteome), generating and integrating multi
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About the Role We are looking for a motivated Postdoctoral Research Associate in Multiscale Modelling of Composite Materials to join the Composite Design and Analysis (CDA) Group, led by Dr. Haibao
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modelling to study and generate a new understanding of MoSS. These advances will have applications across multiple sectors, including pharmaceuticals, agrochemicals, and food industries. There are multiple
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leading to cardiomyopathy. This work will be performed in primary cardiomyocytes from human iPS cells, human myocardial slices from patients and humanised mouse models with the same mutations as patients
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, crystal polymorph, crystal sizes and shapes and rates of dissolution. The overall goal of the consortium is to develop and apply cutting-edge techniques in crystal synthesis, characterisation and modelling
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inference attacks, to mitigate privacy leaks in MMFM. You will hold a PhD/DPhil (or be near completion) in a relevant discipline such as computer science, data science, statistics or mathematics; expertise in
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also have or be close to completing a PhD in any of the following areas as well as the will and commitment to learn relevant topics from the other areas: Statistical and machine learning, mathematical
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novel neuroprotective strategies. You will utilise in vivo rodent models of neurodegeneration in combination with sleep/circadian clock modulators to develop an in-depth understanding of consequences
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area* Experience developing deep learning segmentation models
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and apply cutting-edge techniques in crystal synthesis, characterisation and modelling to study and generate a new understanding of MoSS. These advances will have applications across multiple sectors