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Research Assistant Computational Neuroanatomy

The University of Edinburgh - College of Medicine and Veterinary Medicine, Edinburgh Medical School: Biomedical Sciences, Centre for Discovery Brain Sciences

Location: Edinburgh
Salary: £31,396 to £36,024
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 8th December 2023
Closes: 29th January 2024
Job Ref: 9199

Contract Type - Fixed term, 18 months

Full time - 35 Hours Per Week

We are looking for a research assistant with experience in computer science and/or computational neuroanatomy to study cognitive and sensorimotor dysfunction in neurological and developmental disorders. 

The candidate will join our multi-disciplinary team of cellular and circuit neurophysiologists who employ advanced recording, manipulation and in silico modelling techniques to explore how the brain plans, executes and adapts actions based on task requirements, and how circuit dysfunction leads to quantifiable cognitive and sensorimotor phenotypes in disease. We promote a team based approach to science in a highly collaborative environment that takes advantage of a wealth of groups working on cellular and systems neuroscience research in the Centre for Discovery Brain Sciences (https://discovery-brain-sciences.ed.ac.uk) and Simons Initiative for the Developing Brain (https://sidb.org.uk/) at The University of Edinburgh.

The Opportunity:

We are seeking a research assistant to contribute to the development and support of a programme of high-quality research that aims to generate fundamental insights into mechanisms of neural dysfunction that lead to cognitive impairments in a mouse model of Rett syndrome. The post-holder will support the generation of computational neuroanatomy methods for data collected in neurophysiology and neuroanatomy experiments. By working in close collaboration with members of the Duguid (https://duguidlab.com) and Cobb http://www.cobblab.science) labs the post-holder will develop a computational neuroanatomy pipeline for the registration of neurophysiological and histological datasets to the Allen Mouse Brian Common Coordinate Framework (CCF), automate the quantification of neuroanatomical or histological features of 3D imaging datasets and support the curation and maintenance of laboratory datasets. 

Your skills and attributes for success:

  • A BSc degree or equivalent in a biological science or computer science related subject.
  • Demonstrable fluency in the Python programming language.
  • Working knowledge of general neuroanatomy and/or histological data.
  • Experience with computational anatomy atlases in rodents and/or humans. 
  • Experience with analysing 3D imaging datasets.
  • Working knowledge of statistics. 
  • Excellent verbal and written communication skills.
  • Ability to work collaboratively as part of a larger research team.
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