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Position: Research Fellow in machine learning and device development for disease diagnosis
Institution: University College London
Department: London Centre for Nanotechnology
Location: London, United Kingdom
Duties: Development of software and machine learning algorithms to capture, analyse, interpret and connect diagnostic tests results, based on images. Diagnostic device development. Production of large data sets with the developed system. To maintain appropriate databases, keeping accurate written and computerised records and to ensure that these records are stored in a secure place and to maintain confidentiality of all electronically stored personal data in line with the provisions of the Data Protection Act. Progress report and academic manuscripts writing
Requirements: The successful applicant will have a PhD in Engineering, Computer Science, Physics and expertise in machine learning and diagnostic test development. Candidates should also have excellent written and verbal communication
   
Text: Research Fellow in machine learning and device development for disease diagnosis, - Ref:1765099 Click here to go back to search results Apply Now UCL Department / Division London Centre for Nanotechnology Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) ?35,328 - ?42,701 per annum Duties and Responsibilities The McKendry group at UCL is looking to recruit an outstanding postdoctoral researcher to join the i-sense EPSRC IRC. The post holder will be responsible for building machine learning algorithms and devices for diagnostics tests. The aim of the i-sense EPSRC IRC is to build a new generation of digital early warning sensing systems for infectious diseases. We are harnessing the power of telecommunications, big data, nanotechnology and genomics to detect infections much earlier than ever before. i-sense brings together a highly interdisciplinary team of over 100 researchers from UCL, Imperial, London School for Hygiene and Tropical Medicine, Surrey and Newcastle, with NHS, PHE, industry and overseas partners. Highlights include machine learning algorithms used by Public England for national influenza surveillance; smartphone connected tests for HIV; and research to build the first online care pathway for HIV in the UK. General duties include: ? Development of software and machine learning algorithms to capture, analyse, interpret and connect diagnostic tests results, based on images. ? Diagnostic device development. ? Production of large data sets with the developed system. ? To maintain appropriate databases, keeping accurate written and computerised records and to ensure that these records are stored in a secure place and to maintain confidentiality of all electronically stored personal data in line with the provisions of the Data Protection Act. ? Progress report and academic manuscripts writing. The post is funded until 30 September 2019 in the first instance and should start as soon as possible. The post will be based in the London Centre for Nanotechnology. Key Requirements The successful applicant will have a PhD in Engineering, Computer Science, Physics and expertise in machine learning and diagnostic test development. Candidates should also have excellent written and verbal communication. 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 Denise Ottley at the London Centre for Nanotechnology, d.ottley@ucl.ac.uk or 17-19 Gordon Street, London WC1H 0AH, for advice. UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 9 Dec 2018 Latest time for the submission of applications 23:59 Interview date TBC Our department is working towards an Athena SWAN award. We are committed to advancing gender equality within our department. 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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