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. Participate in the development of internal and external partnerships and networks in order to disseminate information, share best practice, generate income, establish opportunities for collaborative work, and
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(including a Parenting and Carers Fund and the Carer’s Career Development Fund), training, and a variety of diversity and inclusion networks. Staff can apply for flexible working to help them balance
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many disease areas. The Group works closely with the clinical trials unit/network and has close links with applied methodologists (e.g. statistics, qualitative research, operational research/modelling
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disciplines both within and beyond QMUL and are a core member of the International Trauma Research Network that includes academic partners across Europe and North America. Our highly developed human discovery
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disciplines both within and beyond QMUL and are a core member of the International Trauma Research Network that includes academic partners across Europe and North America. Our highly developed human discovery
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computational modelling using artificial neural networks. It brings together teams led by Mohamady El-Gaby (Oxford Experimental Psychology), Matthew Nour (Oxford Psychiatry), Rick Adams (UCL), and Maria Eckstein
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An interest in outreach across policy and civil society and making computation methods accessible. Desirable criteria Experience with independent system dynamic modelling (e.g. not using software such as Vensim
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following areas: dynamical systems, ergodic theory, or the theory of networks. Moreover, the Research Associate will also engage in collaborative research, contributing to the theoretical development
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engaged in the teaching and research of all aspects of conflict, war, security and defence. About the project The project examines ‘relational harm’, defined in the project as harm that individuals and
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Medicine 2023) and dissect their context -dependent role during cancer evolution (Ganguli, Nature Cancer, 2025). We also maintain a highly accessed resource of cancer genes (http://network-cancer-genes.org