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Dear Colleague,
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<div class="">please forward to suitable candidates:</div>
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Research Fellow in Deep Learning for Intelligent Disease Monitoring in Lung Cancer</td>
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Department :</td>
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Biomedical Engineering</td>
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<p class="">We are seeking a Research Fellow to develop and test novel machine/deep learning based medical image analysis methods for our EPSRC funded Healthcare Impact Partnership project -Intelligent and Personalised Risk Stratification and Early Diagnosis
of Lung Cancer (EP/P023509/1. <br class="">
This 24 month project will bring together expertise in computational imaging and deep learning at Kings College London and Imperial College London, expert clinicians at Guys and St. Thomas Hospital and Kings College Hospital, and a leading industry partner.</p>
<p class="">Our aim is to achieve both computational innovations in personalised diagnostics, as well as a strong translational focus for improved patient management, effectively leading the way in providing advanced healthcare technologies for a future UK
lung cancer screening programme.</p>
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<p class="">The selection process will include a panel interview, a presentation and a paper discussion.</p>
<p class="">For an informal discussion to find out more about the role please contact: Professor Julia Schnabel
<a href="mailto:julia.schnabel@kcl.ac.uk" class="">julia.schnabel@kcl.ac.uk</a></p>
<p class="">To apply, please download a new application from the advert to complete and re-upload. Please do not use an old version of the application form as they are specific to the post, and only applicants who have completed the correct form will be considered.</p>
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Grade and Salary :</td>
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£45,259 to £47,782 per annum, inclusive of £3,223 per annum London Allowance</td>
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Job ID :</td>
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007488</td>
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Post Date :</td>
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29-Nov-2018</td>
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Close Date :</td>
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02-Jan-2019</td>
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Contact Person :</td>
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Professor Julia Schnabel</td>
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Contact Details :</td>
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<a href="mailto:julia.schnabel@kcl.ac.uk" class="">julia.schnabel@kcl.ac.uk</a></td>
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<div class="">Apply via: <a href="https://my.corehr.com/pls/kingrecruit/erq_jobspec_version_4.display_form?p_company=1&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=007488" class="">https://my.corehr.com/pls/kingrecruit/erq_jobspec_version_4.display_form?p_company=1&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=007488</a> </div>
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<div class="">Best wishes and many thanks,</div>
<div class="">Julia </div>
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<div style="text-align: start; text-indent: 0px;">Julia A. Schnabel, PhD<br class="">
Professor of Computational Imaging, and Head of Research & Impact<br class="">
School of Biomedical Engineering and Imaging Sciences, King’s College London, UK<br class="">
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Office: 5th floor, Becket House, 1 Lambeth Palace Road, London SE1 7EU, UK<br class="">
Mail: 4th Floor, Lambeth Wing, St Thomas’ Hospital, London SE1 7EH, UK<br class="">
Tel. +44 (0)20 784 89561 (direct) 89559 (CDT/admin)<br class="">
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EPSRC CDT in Medical Imaging at King’s College London and Imperial College London,
<a href="mailto:imaging-cdt@kcl.ac.uk" class="">imaging-cdt@kcl.ac.uk</a> (Director)<br class="">
HYBRID - H2020 Innovative Training Network @HYBRID2020 <br class="">
MICCAI 2018, Granada, Spain, 16-20 September 2018 @MICCAI2018 (Program Chair)<br class="">
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