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Field
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Collect research data via experiments carried out on the analysis and recycling of Li ion battery materials Supervise students on research related work and provide guidance to PhD students on the Li ion
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data using appropriate theoretical and methodological frameworks Apply knowledge in a way that develops new intellectual understanding Disseminate research findings through academic publications
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Specification First degree in area of specialism and normally, a higher degree relevant to research area or equivalent qualifications High level analytical capability Ability to communicate complex information
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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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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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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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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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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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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