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<span style="padding-right: 4px; font-size: 10pt; box-sizing: border-box; font-family: Arial, Helvetica, sans-serif;">Reference:</span><span style="font-size: 10pt; font-family: Arial, Helvetica, sans-serif;"> </span><span style="font-size: 10pt; box-sizing: border-box; font-family: Arial, Helvetica, sans-serif;">MED02966</span></div>
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<div style="margin:0px"><span style="margin:0px; padding:0px 4px 0px 0px; font-size:10pt; box-sizing:border-box; font-family:Arial,Helvetica,sans-serif">Date posted:</span><span style="margin:0px; font-size:10pt; font-family:Arial,Helvetica,sans-serif"> </span><span style="margin:0px; font-size:10pt; box-sizing:border-box; font-family:Arial,Helvetica,sans-serif">8<span> February </span>2022</span></div>
<span style="margin:0px"><span style="margin:0px; padding:0px 4px 0px 0px; font-size:10pt; box-sizing:border-box; font-family:Arial,Helvetica,sans-serif">Closing date:</span><span style="text-decoration-line: line-through; margin: 0px; font-size: 10pt; font-family: Arial, Helvetica, sans-serif;"> </span><span style="margin: 0px; font-size: 10pt; box-sizing: border-box; font-family: Arial, Helvetica, sans-serif;"><strike>9 March
2022</strike> 19 April 2022 (Deadline extension)</span></span></div>
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<span style="font-size:10.0pt">Applicants are invited to apply for a new vacancy at Research Associate level in Surgical Vision and Artificial Intelligence for intraoperative surgical guidance during cancer resection. The post is based within the Hamlyn Centre
at Imperial College London and the appointed applicant will carry out research at the South Kensington laboratories. The Hamlyn Centre is dedicated to developing safe, effective and accessible imaging, sensing and robotics technologies that can reshape the
future of healthcare for both developing and developed countries. The Hamlyn Centre is part of the Institute of Global Health Innovation and is supported by two stake-holding departments, Mechanical Engineering, and Surgery & Cancer. </span></p>
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<span style="margin:0px; font-size:10pt">The post is funded by the Royal Society University Research Fellowship “GENIUS: Guidance for cancer resection with artificial intelligence and surgical vision” led by Dr Giannarou. The fellowship focuses on the development
of an intraoperative vision system for surgical navigation and real-time tissue characterisation during robotic-assisted neurosurgery to improve both the efficacy and safety of tumour resections. A key application is the resection of glioblastoma multiforme
(GBM) but its versatile nature makes it suitable for any cancer resection procedure. The successful applicant will be a key member of a large team of engineers, scientists and clinicians, from multiple departments of Imperial College and the NHS. </span></p>
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<span style="font-size:10.0pt"><span style="font-weight:700; background-color:rgb(255,255,255); display:inline!important">Duties and responsibilities</span> <br>
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<a><span style="font-size:10.0pt">The postholder will play a pivotal role in developing a
</span></a><a><span style=""><span style="font-size:10.0pt">cognitive </span></span></a><span style=""><span style="font-size:10.0pt">platform for surgical navigation and in vivo, in situ tissue characterisation during neurosurgery. This platform will enable
accurate and highly personalised tissue characterisation with the aim of improving both the efficacy and safety of tumour resections.
</span></span><span style="font-size:10.0pt">To this effect, the project focuses on the integration of the following elements: </span></p>
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<li><span style="font-size:10.0pt">Computer Vision and Artificial Intelligence (AI) for
</span><span style="font-size:10.0pt">intraoperative surgical navigation and Augmented Reality visualisation during robotic-assisted cancer resection;
</span><span style="font-size:10.0pt"> </span></li><li><span style="font-size:10.0pt">Machine Learning (ML) for multimodal tissue characterisation fusing c</span><span style="font-size:10.0pt">ellular tissue morphology with molecular information</span><span style="font-size:10.0pt"> for computer-assisted diagnosis
and decision making;</span><span style="font-size:10.0pt"> </span></li></ul>
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<span style="font-size:10.0pt">Functional intraoperative tissue assessment </span>
<span style="font-size:10.0pt">to localise functional cortical areas and </span><span style="font-size:10.0pt">maximise resection while preserving neurologic function</span><span style="font-size:10.0pt">.</span><span style="font-size:10.0pt"> </span></li></ul>
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<span style="font-size:10.0pt">Key responsibilities include the development of a platform that integrates signals from multiple imaging and sensing modalities, including video, probe-based Confocal Laser Endomicroscopy, Mass Spectrometry and
</span><span style="font-size:10.0pt">electrophysiological</span><span style="font-size:10.0pt"> data and, the use of advanced Machine Learning methodologies for the analysis of the multimodal data. </span></p>
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<b><span style="font-size:10.0pt">Essential requirements </span></b></p>
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<span style="font-size:10.0pt"><span style="font-family:Arial,Helvetica,sans-serif; background-color:rgb(255,255,255); display:inline!important">Applicants should hold a PhD (or equivalent) in Visual Computing, Machine Learning, AI, Image Guided Interventions
or a closely related discipline. </span>We are looking for high calibre applicants with expertise in at least a few from the following areas:
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<li><span style="font-size:10.0pt">Programming (C++, Python, etc) </span></li><li><span style="font-size:10.0pt">Machine Learning / AI </span></li><li><span style="font-size:10.0pt">Computer Vision </span></li><li><span style="font-size:10.0pt">Medical Image Analysis </span></li><li style="display:block"><span style="font-size:10.0pt"><br>
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<span style="font-size:10.0pt">Prior experience in </span><span style="font-size:10.0pt">medical applications</span><span style="font-size:10.0pt">
</span><span style="font-size:10.0pt">and medical data processing</span><span style="font-size:10.0pt"> will be an advantage.</span><span style="font-size:10.0pt"> </span></p>
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<b><span style="font-size:10.0pt">Further Information </span></b></p>
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<span style="font-size:10.0pt">This is a Full-Time, Fixed term post for 15 months. The salary range is £41,593 – £49,210 per annum, depending on level of experience and expertise. Research will be carried out at the Hamlyn Centre laboratories in South Kensington. </span></p>
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<span style="font-size:10.0pt">Should you require any further details on the role, please contact: Dr Stamatia Giannarou - </span><span style="font-size:10pt">stamatia.giannarou@imperial.ac.uk</span></p>
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<span style="font-size:10.0pt; font-family:"Arial",sans-serif; color:#201F1E; background:white">More details can be found at: </span></p>
<span style="font-size:10.0pt; line-height:107%; font-family:"Arial",sans-serif"><a href="https://www.imperial.ac.uk/jobs/description/MED02966/research-associate-surgical-vision-and-artificial-intelligence">https://www.imperial.ac.uk/jobs/description/MED02966/research-associate-surgical-vision-and-artificial-intelligence</a></span><br>
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