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Data Scientist (Fixed Term)

Closing date: 
Wednesday, 21 April 2021

Department of Physiology, Development and Neuroscience

An opportunity is available for a data scientist in Albert Cardona's group in connectomics to implement and execute pipelines for automated neuronal arbor reconstruction and synapse detection in volume electron microscopy.

The Cardona Group's research aim is to understand how the nervous system operates as an integrated whole. The lab has so far studied how the structure of a specific neural circuit relates to its function, both in health and in disease. Previous work has shown some aspects of how specific circuits work, such as circuits for learning and memory, for processing visual, olfactory, chemical, mechanical or noxius stimulus. However, relating all circuits to each other requires understanding of how output signals from independent circuit modules are integrated and used as inputs for further, downstream circuits, ultimately leading to circuits that implement the choice of a single, coherent behavioural response in exclusion to all possible others. To investigate how the outputs of one circuit are the inputs to another, while overcoming inter-individual variability, we must map at nanometer scale complete nervous systems of multiple individuals.

We are looking for a motivated and skilled individual who will thrive in a highly collaborative and supportive research group. You should have a degree or equivalent plus a background in computer science, engineering, maths, physics or a similar technical field, and a passion for the mapping and analysis of neural wiring diagrams.

 

https://www.jobs.cam.ac.uk/job/29311/

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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