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    帝国理工学院招募研究助理,基于人工智能的大流行病预测

    校招社招
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    • 153****2211
      153****2211 last edited by

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      Successfully responding to the threat of pandemic extends beyond containment and delaying spread. It also requires the optimal use of hospital resources to prevent healthcare systems from being overwhelmed, preventing unnecessary deaths as well as predicting the resulting long-term effects of COVID-19 infection.

      We are seeking either a Research Associate to work on this project (Short - And long-term outcome prediction using AI-Based image Evaluation in coRonavirus (SABER)). The post is funded by Boehringer Ingelheim and aims to improve our ability to predict outcomes in early COVID-19 and other causes of lung injury, thereby facilitating hospital resource allocation and accelerating research and innovation.
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      To assist in the collection and management of imaging and clinical data.

      To take initiatives in the planning of research

      To direct the work of small research teams

      To identify and develop suitable techniques, and apparatus, for the collection and analysis of data

      To conduct data analysis

      To ensure the validity and reliability of data at all times

      To maintain accurate and complete records of all findings

      To write reports for submission to research sponsors

      To present findings to colleagues and at conferences

      To submit publications to refereed journals

      To provide guidance to staff and students

      To attend relevant workshops and conferences as necessary

      To develop contacts and research collaborations within the College and the wider community

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      Research Associate: Hold a PhD (or equivalent) Computer Science, Medical Physics, Bioinformatics, Bioengineering or a closely related discipline, or equivalent research, industrial or commercial experience

      Research Assistant: Near completion of a PhD (or equivalent) Computer Science, Medical Physics, Bioinformatics, Bioengineering or a closely related discipline, or equivalent research, industrial or commercial experience

      Knowledge of artificial intelligence, medical image analysis, deep learning, data science, big data, federated learning
      Knowledge of research methods and statistical procedures
      Practical experience within a research environment and / or publication in relevant and refereed journals
      Practical experience in a broad range of techniques including programming in Python, C++ and Matlab
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      The post is offered Full Time and Fixed Term for 2 years based at the Royal Brompton Campus, London.

      Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £36,694 - £39,888 per annum.

      Should you require any further details on the role please contact Dr Simon Walsh, s.walsh@imperial.ac.uk or Dr Guang Yang, g.yang@imperial.ac.uk

      Closing date: 4 July 2022
      **在线申请:**https://www.imperial.ac.uk/jobs/description/MED03088/research-associate

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