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<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#333333;background:white">The
<b>Computational Breast Imaging Group</b> (<b>CBIG</b>) of the <b>Radiology Department at the University of Pennsylvania</b> has open postdoctoral positions. CBIG's mission is to
<b>act as a translational catalyst between computational science and cancer imaging research</b>. Work in our group focuses on developing innovative image analysis, machine learning and data science methodologies for multimodality imaging, and also on incorporating
such methods into clinically relevant applications. Most of our work to date has been on breast imaging, while more recently expanding more broadly in oncologic imaging, including lung and molecular imaging applications. A priority area is integrating imaging
with molecular and genomic biomarkers towards precision medicine prevention and therapy for cancer.
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#333333;background:white"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#333333;background:white">Specific Research Project:
<o:p></o:p></span></b></p>
<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#333333;background:white">The position advertised will be specifically in developing novel imaging phenotyping approaches to characterize breast parenchymal tissue patterns
from digital breast tomosynthesis (DBT) imaging, an emerging 3D x-ray breast cancer screening imaging modality, as imaging biomarkers for breast cancer risk assessment. The position will involve computational methodology development and implementation of 3D
image pattern analysis, including machine learning approaches to incorporate imaging with non-imaging clinical breast cancer risk factor data. In addition, the project will include applying such methods to a large clinical database of more than 3000 DBT screening
scans. This position is supported by a 5-year NIH R01 grant and is a collaboration between the University of Pennsylvania in Philadelphia, PA, and the Mayo Clinic at Rochester, MN. More details can be found here:
<a href="https://projectreporter.nih.gov/project_info_description.cfm?aid=9449394&icde=38950977&ddparam=&ddvalue=&ddsub=&cr=3&csb=default&cs=ASC&pball">
https://projectreporter.nih.gov/project_info_description.cfm?aid=9449394&icde=38950977&ddparam=&ddvalue=&ddsub=&cr=3&csb=default&cs=ASC&pball</a>
</span><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#333333"><br>
<br>
<b><span style="background:white">Postdoctoral Position Qualifications</span></b><span style="background:white">:</span><br>
<span style="background:white">We are seeking highly motivated individuals with excellent academic track-record, including first-author publications in peer-reviewed journals. Successful candidates should have, or be in the process of completing, a PhD (or
equivalent) in Biomedical, Electrical or Computer Engineering, Computer and Information Science, Applied Mathematics, or related field. Ideal applicants should have a background on biomedical image analysis, computer vision, pattern recognition and/or machine
learning. Proficiency in quantitative analytical methods and computer programming (e.g., Python, C/C++) is essential. Experience with medical image analysis (e.g., MRI, CT, X-ray, Ultrasound) or statistical methods and software packages (e.g., ITK C/C++ libraries,
R/SPSS) is a plus. Applicants should demonstrate excellent oral and written communication skills, and the ability to work effectively independently and as part of a multidisciplinary team.</span><br>
<br>
<span style="background:white">Successful applicants will join a vibrant collaborative research environment and will work closely with clinical investigators. Collaborators include faculty in our Radiology department, the Center for Biomedical Image Computing
and Analytics (CBICA), the Abramson Cancer Center (ACC), the Penn Institute for Biomedical Informatics (IBI), and the Center for Clinical Epidemiology and Biostatistics (CCEB).</span><br>
<br>
<b><span style="background:white">For more information, please visit:</span></b><br>
<br>
<span style="background:white">Computational Breast Imaging Group (CBIG): </span><br>
<span style="background:white"><a href="http://www.uphs.upenn.edu/radiology/research/labs/cbig/">http://www.uphs.upenn.edu/radiology/research/labs/cbig/</a>
</span><br>
<br>
<span style="background:white">Center for Biomedical Image Computing and Analytics (CBICA):</span><br>
<span style="background:white"><a href="http://www.cbica.upenn.edu/">http://www.cbica.upenn.edu/</a>
<o:p></o:p></span></span></p>
<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#333333;background:white"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#333333;background:white">Penn Institute for Biomedical Informatics (IBI):<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:12.0pt"><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#333333"><a href="http://upibi.org/">http://upibi.org/</a>
<span style="background:white"><o:p></o:p></span></span></p>
<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#333333;background:white">Abramson Cancer Center (ACC):<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:12.0pt"><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#333333"><a href="https://www.pennmedicine.org/cancer">https://www.pennmedicine.org/cancer</a>
<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:12.0pt"><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#333333">Penn Radiology Breast Imaging Clinical Program:<br>
<a href="https://www.pennmedicine.org/for-patients-and-visitors/find-a-program-or-service/radiology/breast-imaging">https://www.pennmedicine.org/for-patients-and-visitors/find-a-program-or-service/radiology/breast-imaging</a>
<br>
<br>
<span style="background:white">Center for Clinical Epidemiology and Biostatistics (CCEB):</span><br>
<span style="background:white"><a href="http://www.cceb.upenn.edu/">http://www.cceb.upenn.edu/</a>
</span><br>
<br>
<span style="background:white">Penn Biomedical Postdoctoral Programs:</span><br>
<span style="background:white"><a href="http://www.med.upenn.edu/postdoc/">http://www.med.upenn.edu/postdoc/</a> <o:p></o:p></span></span></p>
<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#333333;background:white">For more details and to apply contact:</span><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#333333"><br>
<br>
<b><span style="background:white">Despina Kontos, Ph.D.</span><br>
<span style="background:white">Associate Professor</span><br>
</b><span style="background:white">Director, Computational Breast Imaging Group (CBIG)</span><br>
<span style="background:white">Center for Biomedical Image Computing and Analytics (CBICA)</span><br>
<span style="background:white">University of Pennsylvania, Department of Radiology</span><br>
<span style="background:white">Joint Affiliations: Bioengineering, Biostatistics and Epidemiology Graduate Groups<o:p></o:p></span></span></p>
<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#333333">Senior Fellow, Institute for Biomedical Informatics (IBI)<br>
<span style="background:white">Rm D702 Richards Bldg., 3700 Hamilton Walk, Philadelphia PA 19104</span><br>
<span style="background:white">ph: 215-746-4064 // em: <a href="mailto:Despina.Kontos@uphs.upenn.edu">
Despina.Kontos@uphs.upenn.edu</a> </span><br>
<br>
<span style="background:white">Applications should include a letter of motivation, a curriculum vitae, and names and addresses of three references. The University of Pennsylvania is an equal opportunity employer.</span></span><o:p></o:p></p>
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