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(www.c4ts.qmul.ac.uk ) provides the framework for trauma sciences research that we believe will lead to a step-change in outcomes for trauma patients. We are also a member of the International Trauma Research Network
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-depth characterisation and annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based
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verification. This role involves: Contribute to the research goals of the project through collaborative research, with guidance from mentors and a strong network of collaborators Contribute to writing bids
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considered on a pro-rata basis. You will have access to mentoring, career development and networking across the University and beyond. The successful candidate will work under the supervision of Dr Dawn-Marie
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of sewer network and overflows to support effective management, and develop strategies to control pollutions at sources. The post will include delivering research outputs in the form of weekly reports
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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to work on your own initiative and apply for new research projects. You will work with internal and external networks of researchers to foster research collaborations, to identify and deliver common
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and visits to the UK Met Office. HEPPI-ML is one out of several WCSSP-India projects and joint meetings will provide an opportunity for further networking. The successful candidate will hold a PhD, or
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activities. You will be based within ECCD at the University’s Boldrewood Innovation Campus, and you will be embedded within a professional network of academics and researchers addressing the energy studies
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such as the Diversity Charter Mark NI and Athena Swan and have established staff networks such as iRise (Black, Asian, Minority Ethnic and International Staff Network) and PRISM (LGBTQ+) which help us