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Position: Research Assistant
Institution: University College London
Department: Great Ormond Street Institute of Child Health
Location: London, United Kingdom
Duties: The primary focus of the Developmental Neurosciences section is to minimise the impact of disorders affecting the developing central and peripheral nervous system by studying the mechanisms of injury and repair, improving diagnosis and prognosis, evaluating therapeutic strategies and optimising functional outcome. The Multi-centre Epilepsy Lesion Detection (MELD) Project team is a group within Developmental Neurosciences aiming to improve the understanding and detection of lesions in patients with drug-resistant epilepsy
Requirements: The successful candidate will have an Honours degree (minimum 2: 1) in Neuroscience, physics, computer science or a related discipline, plus training and an excellent background in research. Experience with coding and data handling is essential. Good interpersonal skills with an ability to work co-operatively in a multidisciplinary setting, excellent time management, and the ability to liaise with experts in clinical neuroimaging. Experience of working with neuroimaging data is desirable
   
Text: Research Assistant , - Ref:1862890 Click here to go back to search results Apply Now UCL Department / Division Great Ormond Street Institute of Child Health Location of position London Grade 6 Hours Full Time Salary (inclusive of London allowance) £31,479 per annum Duties and Responsibilities The primary focus of the Developmental Neurosciences section is to minimise the impact of disorders affecting the developing central and peripheral nervous system by studying the mechanisms of injury and repair, improving diagnosis and prognosis, evaluating therapeutic strategies and optimising functional outcome. The Multi-centre Epilepsy Lesion Detection (MELD) Project team is a group within Developmental Neurosciences aiming to improve the understanding and detection of lesions in patients with drug-resistant epilepsy. A Research Assistant is sought to support a project that aims to create an openly available computational tool for automated detection of focal cortical dysplasias (FCD). FCD is a congenital abnormality of cortical development and a leading cause of surgically remediable drug-resistant epilepsy. MRI has played a major role in the evaluation of patients; yet, significant proportions of lesions remain undetected by conventional image analysis. Our group created a tool which automatically identifies these lesions (Adler, Wagstyl et al., Neuroimage Clinical, 2017). Through open science, we now lead the MELD Project with 26 participating hospitals internationally contributing to create a cohort of over 550 patients. This cohort offers an unprecedented opportunity to further our understanding of FCD and create a robust, clinically useful lesion detection algorithm. The project is supported by the Rosetrees Trust. The post offers a unique opportunity for the appointee to join a pioneering translational machine learning neuroimaging project with a broader interest linking imaging characteristics to neurobiological and pathological processes and join an international collaboration of the worlds leading neurosurgical centres. This post is available for 32 months or until 31 December 2022 in the first instance. Key Requirements The successful candidate will have an Honours degree (minimum 2:1) in Neuroscience, physics, computer science or a related discipline, plus training and an excellent background in research. Experience with coding and data handling is essential. Good interpersonal skills with an ability to work co-operatively in a multidisciplinary setting, excellent time management, and the ability to liaise with experts in clinical neuroimaging. Experience of working with neuroimaging data is desirable. Further Details A job description and person specification can be accessed at the bottom of the page. To apply for the vacancy please click on the Apply Now button below. If you have any queries regarding the application process, please contact Madhur Sharma on ich.hr@ucl.ac.uk quoting job reference UCL Taking Action for Equality Closing Date 17 Apr 2020 Latest time for the submission of applications 23:59 Interview date TBC Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality. Any offer of employment will be subject to a Disclosure and Barring Service (DBS) check. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Job Description and Person Specification Apply Now
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