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Position: Research Fellow in Machine Learning for Early Disease Diagnosis
Institution: University College London
Department: London Centre for Nanotechnology
Location: London, United Kingdom
Duties: Developing software and interacting with databases (Python, SQL); Developing mobile application Developing machine learning models for accurate classification of lateral flow tests as positive, negative, invalid; Developing data systems including security, privacy, linkage to existing data bases; Organising and managing pilot studies with prototypes in UK and LMICs; Engaging with end-users; round tables, questionnaires to explore the feasibility and acceptability of mHealth technologies, and wider barriers including privacy, regulation
Requirements: Applicants should have a PhD in physical sciences, engineering, computing science or a relevant subject (or at least have submitted their thesis) and expertise in one or more of the following areas: programming (Python, SQL), developing software, mobile app development, machine learning and working with end users. The ability to multi-task and organise own work with minimal supervision to meet deadlines is essential. Also, essential is evidence of independent contributions to research projects
   
Text: Research Fellow in Machine Learning for Early Disease Diagnosis, - Ref:1880250 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) £36,770 £44,388 per annum Duties and Responsibilities Applications are invited for a Research Fellow in machine learning and app development for data capture and quality assurance of infectious disease diagnostics to join the McKendry group (www.theMcKendrylab.com) and i-sense EPSRC IRC in Early Warning Sensing Systems for Infectious Diseases (www.i-sense.org.uk) at UCL. Initially work will focus on adapting digital tools previously developed in the McKendry group for HIV rapid tests in partnership with the Africa health Research Institute, recently published in Nature Medicine (2021; DOI: https://doi.org/10.1038/s41591-021-01384-9). The position will also involve a new collaboration on cholera with researchers in Bangladesh, and there is scope for expanding into new areas, depending on new skills the applicant will bring to the project. This exciting research position will be responsible for Developing software and interacting with databases (Python, SQL) Developing mobile application Developing machine learning models for accurate classification of lateral flow tests as positive, negative, invalid Developing data systems including security, privacy, linkage to existing data bases Organising and managing pilot studies with prototypes in UK and LMICs Engaging with end-users round tables, questionnaires to explore the feasibility and acceptability of mHealth technologies, and wider barriers including privacy, regulation This is an interdisciplinary position, at the cutting interface of engineering, medicine and public health, requiring intellectual leadership, drive and vision. The person must have an outstanding track record in creative, original independent research of the highest impact, ability to work with a wide range of stakeholders in the UK and internationally, ability to multi-task, and organise their work to meet deadlines. The position is based at the London Centre for Nanotechnology UCL and funded by i-sense EPSRC Interdisciplinary Research Collaboration in Agile Early Warning Sensing Systems for Infectious Diseases and AMR. The vacancy is funded for 2 years in the first instance with the possibility of extension. Also see the i-sense website (www.i-sense.org.uk) and the McKendry group website for more information about the team and other recent papers in Nature and Nature Medicine (www.theMcKendrylab.com) Key Requirements Applicants should have a PhD in physical sciences, engineering, computing science or a relevant subject (or at least have submitted their thesis) and expertise in one or more of the following areas: programming (Python, SQL), developing software, mobile app development, machine learning and working with end users. The ability to multi-task and organise own work with minimal supervision to meet deadlines is essential. Also, essential is evidence of independent contributions to research projects. The exciting research position is responsible for leading the development of the interdisciplinary research and supervise students. The post holder will actively follow UCL policies including Equal Opportunities and Race Equality policies and maintain an awareness and observation of Fire and Health & Safety Regulations. The post holder will carry out any other duties within the scope, spirit and purpose of the job as requested. As part of their application (via the link below), candidates are requested to submit a short proposal (max 400 words) demonstrating their research vision for mobile app development and digital health. Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at research assistant Grade 6B £32,217-£33,958 including London Allowance with payment at Grade 7 being backdated to the date of final submission of the PhD thesis per annum including London Allowance. 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 application process, please contact Denise Ottley, d.ottley@ucl.ac.uk, at the London Centre for Nanotechnology, or 17-19 Gordon Street, London WC1H 0AH, for advice. Informal enquiries regarding the vacancy can be made to Jo McHugh, j.mchugh@ucl.ac.uk UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 4 Jan 2022 Latest time for the submission of applications 23:59 Interview date TBC Our department holds an Athena SWAN Bronze award, in recognition of our commitment to 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 and person specification Apply Now
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