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Two Research Assistant positions in Artificial Intelligence for Healthcare (Fixed Term)

Closing date: 
Friday, 24 May 2024

Department of Computer Science and Technology, West Cambridge

Fixed-term: The funds for this post are available for 5 months in the first instance with potential further extensions and promotions.

The Accelerate Programme for Scientific Discovery is a high-profile Cambridge University initiative promoting the use of machine learning to tackle major scientific challenges. Working across disciplines within the University, Accelerate is advancing research at the interface of artificial intelligence (AI) and science and society, providing training in data science for science and society, and building a community of research and practice.

We are looking for two Research Assistants to join our team, working on an interdisciplinary AI for healthcare project the explores the interfaces that can facilitate effective interactions between health sciences and AI. This project could explore different aspects of health data to develop models and predict important outcomes to support healthcare sector. Project partners include the Centre for Integrated Neuroscience Discovery (CIND) at Department of Neuroscience and the Centre for Advanced Photonics and Electronics (CAPE) and bioelectronics lab at the Department of Engineering at University of Cambridge, Royal Papworth hospital, Alan Turing Institute, and Haleon, whom provide guidance, support and opportunities for the project members to seek training and collaborations to widen expertise knowledge.

https://www.jobs.cam.ac.uk/job/46481/

About us

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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