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associated computing code for modelling avian influenza outbreaks in Great Britain (GB). One position will focus on modelling the risk of virus invasions into GB in different locations and at different times
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showing an employee pass in selected local stores, or online by using any of the listed discount codes Childcare services - We offer excellent childcare services including five University nurseries as
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research, fundamental cell biology and cell signalling with excellent shared facilities including the Centre for Proteome Research, the Computational Biology Facility, the Liverpool Centre for Cell Imaging
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. Duties will include: coding and thematic analysis and of data; interpretation of results; developing a robust qualitative explanation of key social and institutional factors that produce conditions of
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including Dr Keith Winwood (Manchester Met), and Prof Lukasz Kaczmarczyk (University of Glasgow, and founder of open-source finite element code MoFEM). Key Responsibilities The key technical responsibility
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visiting off-campus locations to engage with research participants. Commitment to working within professional and ethical codes of conduct Commitment to working in partnership with people with lived
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, intracranial injections of viral vector (to allow optogenetic/chemogenetic manipulation), electrophysiological experiments (single cell neurophysiology) and histology/imaging. You will be based in Dr Sollini’s
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to support e-learning, including developing module content, basic website building and coding skills. Diversity Committed to equality and valuing diversity Application Process You will be required to upload a
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computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track
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including Dr Keith Winwood (Manchester Met), and Prof Lukasz Kaczmarczyk (University of Glasgow, and founder of open-source finite element code MoFEM). Key Responsibilities The key technical responsibility