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Field
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part of a broader collaborative team, under the supervision of Dr Shivani Pasricha, you'll utilise advanced molecular genetic technologies like CRISPR and data analytics to understand infection dynamics
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to writing bids for research funding Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc
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internal and external partners/professionals Specialist knowledge & experience of quantitative research methods and analysing data from a range of sources Competence in analytic/statistical software such as
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and healthcare system simulation modelling will be useful for evaluating these options. To that end, this team will develop a novel analytical simulation framework and use it to address these pressing
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qualitative data using established and rigorous analytic methods Apply knowledge in a way which develops new intellectual understanding and that ensures pathways are accessible and inclusive Disseminate
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to write grants and apply for further fellowships which may lead to further academic work. The candidate should have excellent interpersonal, analytical and problem-solving skills with a proven ability
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of research methods and processes (ideally in the field of cancer and trials). High level analytical capability. Ability to communicate complex information clearly. Ability to assess resource requirements and
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be able to demonstrate the following skills: High level analytical capability. Ability to communicate complex information clearly, both in writing and verbally, to audiences with a scientific or more
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reports and presentations High level analytical capability Ability to communicate complex information clearly Informal enquiries can be made to Dr Daniel Wheatley, email: d.wheatley@bham.ac.uk To download
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responsible for the entire project from polymer synthesis, crystallisation-driven self-assembly, characterising data collection interpretation. Training will be provided in all of the component techniques but