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stratification. As clinical diagnostics move toward more personalised and preventative models, it is increasingly vital that sampling approaches are minimally invasive and patient friendly. This role contributes
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group with expertise in primary headache disorders, electrophysiology, disease modelling, behaviour, chemogenetics and in vivo neural imaging technologies. The Headache Group is part of the WSPaRC, with
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conducting case studies on Latin lexical semantics. You will work closely with computational linguists to integrate linguistic insights into computational models and help build open-source tools and resources
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in a computational model of paranoia may be influenced by THC administration or in support-seeking participants under sober conditions. The postholder will collect a range of psychopharmacology
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for analysis of large-scale bulk and single cell data sets Strong understanding of statistical modelling, data normalisation and machine learning methods applied to biological datasets Experience with data
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structural properties of nanostructures and nanoparticles. We combine expertise in nanofabrication, laser science, nonlinear optics, sensing, advanced imaging techniques and numerical modelling. About the role
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proteins — offering unprecedented insight into disease mechanisms, therapeutic response, and patient stratification. As clinical diagnostics move toward more personalised and preventative models, it is
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within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and
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insights into computational models and help build open-source tools and resources that will support future research in historical semantics and NLP. You will be responsible to the Principal Investigator and
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humanised mouse models with the same mutations as patients, all of which are currently available in the laboratory. Minimum qualifications are PhD and/or MD with expertise in molecular and cellular biology