Computational Cell Biologist - KTP Associate

£33,824 - £34,733

Cambourne, Cambridgeshire - 18 months

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Job description

Queen Mary University of London (QMUL) in partnership with Carl Zeiss offers an exciting opportunity for an outstanding candidate to help the company develop its image analysis tools available on their APEER platform.

In collaboration with academics from the Center for Cell Dynamics, School of Biological and Behavioural Sciences (SBBS), the successful candidate will generalise SpinX, a Deep Learning and Mathematical QMUL Model based software developed to track subcellular structures in time-lapse movies. The Associate will work closely with the image analysis software development team at Zeiss and high-resolution image acquisition and data analysis team at QMUL.

Project description

The aim of the project is to generalise SpinX, a Deep Learning and Mathematical Model based software developed to track subcellular structures in time-lapse movies The Associate will lead the computational aspect of the project by working closely with the APEER team at Carl Zeiss, and will be provided training in the acquisition of timelapse microscopy movies of different living biological specimens. This requires good knowledge and interest in AI technologies and modelling methods. The Associate will expand the tools available on the APEER platform, and work closely with the Image analysis software development team at Zeiss and high-resolution image acquisition and data analysis team at QMUL. The project will offer the successful candidate an exciting multidisciplinary work experience in addition to the opportunity to develop the entrepreneurial skills required to thrive in a career in industry.

About the business

https://www.zeiss.co.uk/corporate/home.html

Optics

Cell Biology and Microscopy

PhD degree (or equivalent experience) in cell biology, developmental biology, bioengineering, or closely allied subject

6 October 2021

25 October 2021

1 November 2021

QMUL26546


Queen Mary University of London (QMUL) in partnership with Carl Zeiss offers an exciting opportunity for an outstanding candidate to help the company develop its image analysis tools available on their APEER platform.

In collaboration with academics from the Center for Cell Dynamics, School of Biological and Behavioural Sciences (SBBS), the successful candidate will generalise SpinX, a Deep Learning and Mathematical QMUL Model based software developed to track subcellular structures in time-lapse movies. The Associate will work closely with the image analysis software development team at Zeiss and high-resolution image acquisition and data analysis team at QMUL.