Research Associate - Cambridge, United Kingdom - University of Cambridge

Tom O´Connor

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Tom O´Connor

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Description
The lab is multidisciplinary, including biology, physics, computer science, software engineering and graph statistics.

Our lab members come from all over the world and include scientists at all career stages, from part II students to master students, PhD students, postdocs, and research scientists.


We are looking for an individual to work on discovering the circuit basis of inter-individual differences in learning ability in _Drosophila_ larva.

The project will involve training individual larvae, repeatedly over may days, imaging activity in specific neurons after training, and imaging the brains of fast
- and slow-learner animals using electron microscopy. We are looking for a post doc with extensive experience in training _Drosophila_ larvae, particularly with the Y-maze system, as well with excellent engineering skills to build high-throughput training set ups for multiple animals, and programming skills for data analysis. A BA degree in engineering and a PhD degree in neuroscience or computer science is required.

Fixed Term:
the funds for this post are available until 31 December 2025, in the first instance.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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