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Position: Research Associate/Senior Research Associate in Machine Learning & Neuroimaging
Institution: University College London
Department: Department of Computer Science
Location: London, United Kingdom
Duties: The Research Associate/Senior Research Associate will be responsible for: Developing Multiview machine learning approaches to combine different modalities of neuroimaging data with behavioural/questionnaire data. Exploring ways of integrating longitudinal data into the models and stratifying/characterizing subgroups of subjects; Validating the models on large samples of healthy subjects and mental health patients. Contributing actively to the development of the group’s Pattern Recognition for Neuroimaging Toolbox
Requirements: The candidate should have a PhD in machine learning or machine learning applied to neuroimaging along with a first degree in a subject with a strong engineering, computer science or mathematics/statistics component. Candidates must have experience in machine learning, Bayesian statistics and software development. A track record of publishing in machine learning conferences or neuroimaging journals (e.g. NeuroImage, Human Brain Mapping) is essential
   
Text: Research Associate/ Senior Research Associate in Machine Learning & Neuroimaging , - Ref:1745193 Click here to go back to search results Apply Now UCL Department / Division Department of Computer Science Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) Grade 7: ?35,328 - ?42,701 OR Grade 8: ?43,884 - ?51,769 Duties and Responsibilities This Wellcome Trust funded research project focuses on developing and applying machine learning models to investigate complex relationships between multimodal neuroimaging data and multidimensional descriptions of mental health disorders. The Research Associate/Senior Research Associate will be responsible for: (i) Developing Multiview machine learning approaches to combine different modalities of neuroimaging data with behavioural/questionnaire data. (ii) Exploring ways of integrating longitudinal data into the models and stratifying/characterizing subgroups of subjects; (iii) Validating the models on large samples of healthy subjects and mental health patients. (iv) Contributing actively to the development of the group?s Pattern Recognition for Neuroimaging Toolbox (PRoNTo, http://www.mlnl.cs.ucl.ac.uk/pronto/ ). Key Requirements The candidate should have a PhD in machine learning or machine learning applied to neuroimaging along with a first degree in a subject with a strong engineering, computer science or mathematics/statistics component. Candidates must have experience in machine learning, Bayesian statistics and software development. Experience in neuroimaging analysis is desirable. A track record of publishing in machine learning conferences or neuroimaging journals (e.g. NeuroImage, Human Brain Mapping) is essential. This post is funded until 14.03.2020 in the first instance. Further Details A job description and person specification can be accessed at the bottom of this page. To apply for the vacancy please click on the ?Apply Now? button below. If you have any queries regarding the vacancy or the application process, please contact Prof Janaina Mourao-Miranda at j.mourao-miranda@ucl.ac.uk . UCL Taking Action for Equality Closing Date 29 Sep 2018 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. 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 & Person Specification Apply Now
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