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responsibilities will include: Pre-registering data analysis plans; Leading and conducting advanced statistical analyses (e.g., twin/family designs, genomic and epidemiological methods, longitudinal modelling
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candidate will be part of our research team and involved in designing and implementing experiments, disseminating our work via writing research articles and giving oral presentations at conferences, and
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accordingly; An Innovation, Impact and Business directorate that works closely with our academics providing specialist support for external engagement and development; Our Exeter Academic initiative supporting
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developing adaptive numerical schemes powered by advanced nonlinear approximations—like Gaussian mixtures and neural networks. The key challenge? Designing robust and stable numerical schemes that remain
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or innovative solutions. Liaise with research colleagues and make internal and external contacts to develop knowledge and understanding and form relationships for future research collaboration. To plan and manage
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relationships for future research collaboration. To plan and manage own research activity, research resources in collaboration with others and contribute to the planning of research projects. To deliver training
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fosters an inclusive culture of belonging that promotes equity and celebrates diversity. We value a diverse workforce for the innovation and diversity of thought it brings and welcome applications from
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. You will manage, plan and conduct research with Dr Sollini’s leadership, resolve problems that arise, write up your research findings and work closely with other people within the lab. There is also the
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of career. Experience in using qualitative data analysis computer software such as NVivo would be an advantage. Skills 13. Demonstrable ability to plan and manage research, both independently and as part of a
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transforming lives, every single day! Manchester Metropolitan University fosters an inclusive culture of belonging that promotes equity and celebrates diversity. We value a diverse workforce for the innovation