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at the University of Birmingham is pleased to offer a Part-Time Research Fellow post funded through the NIHR DEMCOMM Fellowship Programme. This post supports a motivated qualitative researcher to contribute
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and specialised technical research assistance to Dr Yun Fan’s team, contributing significantly to Dr Fan’s BBSRC-funded research on the regulation of apoptosis-induced cell proliferation. In
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health/safety documentation Work collaboratively with other within the School of Biosciences Develop research objectives and proposals for own or joint research, with assistance of a mentor if required
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of the responsibilities outlined below. Develop research objectives and proposals for own or joint research, with assistance of a mentor if required Contribute to writing bids for research funding Analyse and interpret
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, serving on and assisting the work of committees and task and finish groups beyond School/ Research Institute, e.g., Senate, Council, University Education or Research Committee etc.; leading external
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are at the heart of everything we do. You’ll work alongside some of the brightest minds in academia, developing cloud-based solutions that enable world-class research and innovative teaching. Whether it’s enabling
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or joint research, with assistance of a mentor if required Contribute to writing bids for research funding Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding
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lab members. Provide guidance, as required, to support staff and any students who may be assisting with the research, contributing to the lab scientific, cooperative, culture. Undertake management
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of the responsibilities outlined below. Develop research objectives and proposals for own or joint research, with assistance of a mentor if required Contribute to writing bids for research funding Analyse and interpret
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outlined below. Develop research objectives and proposals for own or joint research, with assistance of a mentor if required Contribute to writing bids for research funding Analyse and interpret data Apply