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</o:shapelayout></xml><![endif]--></head><body lang=EN-GB link="#0563C1" vlink="#954F72"><div class=WordSection1><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal style='background:white'><span style='font-size:12.0pt;font-family:"Roboto Mono";color:#3E3A38;mso-fareast-language:EN-GB'>Research Opportunity<o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;background:white'><b><span style='font-size:24.0pt;font-family:"Roboto Mono";color:#3E3A38;mso-fareast-language:EN-GB'>Medical image analysis, machine/deep learning, lung cancer<o:p></o:p></span></b></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;background:white'><b><span style='font-size:13.5pt;font-family:"Roboto Mono";color:#3E3A38;mso-fareast-language:EN-GB'>Work description<o:p></o:p></span></b></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;background:white'><span style='font-size:12.0pt;font-family:"Arial",sans-serif;color:#3E3A38;mso-fareast-language:EN-GB'>CAD systems for automatic detection of pulmonary nodules on CT are one of the most studied applications. Although these systems improve the performance of radiologists, they usually only allow the visual description of tumours, limiting themselves to a subjective and qualitative characterization. The objective of LuCaS is to create a radiomics-based approach to describe and create of predictive models relating images' phenotypes with genomics' signatures, based on a non-invasive methodology.<o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;background:white'><b><span style='font-size:13.5pt;font-family:"Roboto Mono";color:#3E3A38;mso-fareast-language:EN-GB'>Academic Qualifications<o:p></o:p></span></b></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;background:white'><span style='font-size:12.0pt;font-family:"Arial",sans-serif;color:#3E3A38;mso-fareast-language:EN-GB'>PhD in bioengineering, electrical and computer engineering, computer sciences or similar<o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;background:white'><b><span style='font-size:13.5pt;font-family:"Roboto Mono";color:#3E3A38;mso-fareast-language:EN-GB'>Minimum profile required<o:p></o:p></span></b></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;background:white'><span style='font-size:12.0pt;font-family:"Arial",sans-serif;color:#3E3A38;mso-fareast-language:EN-GB'>Experience in projects related to image processing and machine learning.<o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;background:white'><b><span style='font-size:13.5pt;font-family:"Roboto Mono";color:#3E3A38;mso-fareast-language:EN-GB'>Preference factor<o:p></o:p></span></b></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;background:white'><span style='font-size:12.0pt;font-family:"Arial",sans-serif;color:#3E3A38;mso-fareast-language:EN-GB'>Experience in image processing and analysis, machine learning, Python, OpenCV, Matlab.<o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;background:white'><b><span style='font-size:13.5pt;font-family:"Roboto Mono";color:#3E3A38;mso-fareast-language:EN-GB'>Application Period<o:p></o:p></span></b></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;background:white'><span style='font-size:12.0pt;font-family:"Arial",sans-serif;color:#3E3A38;mso-fareast-language:EN-GB'>Since 07 Nov 2018 to 30 Nov 2018<o:p></o:p></span></p><p class=MsoNormal>More information:<o:p></o:p></p><p class=MsoNormal><a href="https://www.inesctec.pt/en/opportunities/medical-image-analysis-machine-deep-learning-lung-cancer-AE2018-0331#intro">https://www.inesctec.pt/en/opportunities/medical-image-analysis-machine-deep-learning-lung-cancer-AE2018-0331#intro</a><o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><span lang=EN-US style='font-size:10.5pt;font-family:Consolas;mso-fareast-language:ZH-CN'>----------------------------------------------------------------------------------<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-size:10.5pt;font-family:Consolas;mso-fareast-language:ZH-CN'>Manager of the Information Processing and Pattern Recognition Area at INESC TEC<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-size:10.5pt;font-family:Consolas;mso-fareast-language:ZH-CN'>Senior Researcher, PhD, Centre for Telecommunications and Multimedia at INESC TEC<o:p></o:p></span></p><p class=MsoNormal><span lang=PT style='font-size:10.5pt;font-family:Consolas;mso-fareast-language:ZH-CN'>Invited Assistant Professor, FCUP<o:p></o:p></span></p><p class=MsoNormal><span lang=PT style='font-size:10.5pt;font-family:Consolas;mso-fareast-language:ZH-CN'>Rua Dr. Roberto Frias<o:p></o:p></span></p><p class=MsoNormal><span lang=PT style='font-size:10.5pt;font-family:Consolas;mso-fareast-language:ZH-CN'>4200-465 Porto, Portugal<o:p></o:p></span></p><p class=MsoNormal><span lang=PT style='font-size:10.5pt;font-family:Consolas;mso-fareast-language:ZH-CN'>Tel: +351 222094306<o:p></o:p></span></p><p class=MsoNormal><span lang=PT style='font-size:10.5pt;font-family:Consolas;mso-fareast-language:ZH-CN'><a href="http://www.inescporto.pt/~hfpo/">http://www.inescporto.pt/~hfpo/</a><o:p></o:p></span></p><p class=MsoNormal><span lang=PT style='font-size:10.5pt;font-family:Consolas;mso-fareast-language:ZH-CN'><a href="http://vcmi.inescporto.pt/">http://vcmi.inescporto.pt/</a><o:p></o:p></span></p><p class=MsoNormal><span lang=PT style='font-size:10.5pt;font-family:Consolas;mso-fareast-language:ZH-CN'><a href="http://medicalresearch.inescporto.pt/breastresearch/">http://medicalresearch.inescporto.pt/breastresearch/</a><o:p></o:p></span></p><p class=MsoNormal><span lang=PT><o:p> </o:p></span></p></div></body></html>