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Theme Lead for Cell and Molecular Medicine

Closing date: 
Tuesday, 19 October 2021

The Alan Turing Institute

The Health and Medical Sciences Programme at Turing delivers research into the theory and methods of AI, statistics, and data analytics underpinning medical and health applications that will enable scientists to do better science, without compromising respect for privacy and patient trust.

The Health and Medical Sciences Programme is now establishing a new major long-term research theme in cell and molecular medicine. The UK is recognised as world-leading in cell and molecular biomedical research. However, the data that modern experimental methods produce is complex and requires advanced mathematical, computational and statistical methods to make the most of it. It is well established that the development of such methods is key to the future of personalised medicine. As such there is a strong need to develop advanced computational methods alongside experimental advances. Collectively, the combination of cutting-edge experiment and advanced analytics has the potential to transform our understanding of the basic biology of disease, with transformative implications across healthcare – from dissecting the causal mechanisms of disease outcomes to more precise risk prediction

We are recruiting a Theme Lead to lead development and implementation of a nationally significant research strategy in this important area. The purpose of the Theme Lead is to develop and deliver a world-leading research initiative in the area of data science for cell and molecular medicine.

Cezanne OnDemand | Vacancies | Theme Lead for Cell and Molecular Medicine (intervieweb.it)

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The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

  • Supports and connects the growing data science and AI research community 
  • Builds research capacity in data science and AI to tackle complex issues 
  • Drives new research challenges through collaborative research projects 
  • Promotes and provides opportunities for knowledge transfer 
  • Identifies and provides training courses for students, academics, industry and the third sector 
  • Serves as a gateway for external organisations 

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