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Field
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on the role of sex chromosomes in aortic aneurysms, atherosclerosis, and heart failure using mouse models that modulate the sex chromosome complements coupled with castration surgeries. Under the mentorship
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, predictive models of neurodegenerative disease with a focus on Alzheimer's Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical
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-source framework, enabling the systematic study of these materials. The work will involve developing tensor network numerical codes, building upon existing libraries and codes, to study general models
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model building and Dark Matter to formal Quantum Field Theory. Organizationally we are part of the division of Subatomic, High-Energy and Plasma Physics within the Department of Physics . We have a
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vivo cancer models. The candidate will be expected to: Determine the effects of the identified VFs using various in vitro and in vivo assays and investigate the underlying mechanisms Contribute
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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network
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conditions of reduced water availability in the laboratory of Dr. Gabriel Castrillo (Sutton Bonington Campus, University of Nottingham, UK). The purpose of this role is to support a multidisciplinary BBSRC
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work (rodent models), perform and analyze behavioral assessments including measures of pain-associated behaviors, assist with experimental design, data collection and analysis, and contribute
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of epigenetics and chromatin organization using fission yeast Schizosaccharomyces pombe as a model organism. Representative publications include: Nature (2011), PMID: 21725325; Molecular Cell (2016), PMID
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and mRNA translation. The successful candidate will establish live imaging tools to analyse translation dynamics in regenerating axons, using an ex vivo culture model previously optimized (Schaeffer et