Internship position in Neural Computation Laboratory

UCLH (University College London Hospitals NHS Foundation Trust)

Internship position in Neural Computation Laboratory

Salary Not Specified

UCLH (University College London Hospitals NHS Foundation Trust), City of Westminster

  • Full time
  • U
  • Onsite working
  • Graduate programme

Posted 3 weeks ago, 22 May | Get your application in now before you miss out!

Closing date: Closing date not specified

job Ref: 250bea55808a493ca292de80a891cd57

Full Job Description

The successful candidate will use volume electron microscopy data obtained using a novel method to infer functional properties of synapses, such as their presynaptic activity and release probability, in the context of the wiring diagram of neural circuits in mouse visual cortex. To automatically analyse these data they will use, adapt, and develop machine learning tools using convolutional neural networks. Applying these adapted tools will allow them to jointly determine structure and functional parameters of a neural circuit. This would improve the accuracy of both, and facilitate the interpretation of the results, in particular our understanding of the computations performed in primary visual cortex in vivo. To apply Email your CV (max 2 pages) and cover letter (max 1 page) to Caroline Reuter (c.reuter@ucl.ac.uk)

The successful candidate will have Python programming skills, experience with mathematical methods in the sciences and some training in biomedical sciences (neurosciences).

The Neural Computation Group is part of the Wolfson Institute for Biomedical Research at UCL. The group's research focuses on understanding computations in neural circuits during behaviour. To this end, the group is combining experimental and theoretical approaches to examine computations in cortical and cerebellar circuits. Over the past decade we have been developing new strategies for probing the function of single neurons and networks of neurons in the intact mammalian brain. We have considerable experience in combining a wide range of techniques, from patch-clamp recordings, two-photon imaging, the use of transgenic mouse lines and genetically encoded calcium sensors, through to electron microscopy for tracing the wiring diagram of the underlying circuits., Our research is driven forward by talented researchers and PhD students who come from countries and backgrounds across the globe. We therefore strongly encourage applications from underrepresented backgrounds in engineering, such as women, ethnic minorities, or people with disabilities. EEE at UCL is a great place for you to study. We will make reasonable adjustments at interview and/or in the position as requested.