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ComputerGraphics版 - PostDoc Fellow at National Institutes of Health on Radiological Image and Deep Learning
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PostDoc Fellow at National Institutes of Health on Radiological Image and Deep Learning
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Title: PostDoc Fellow
Company/Institution: National Institutes of Health Clinical Center
Location: Bethesda, MD 20892, USA
Department: Department of Radiology and Imaging Science
Focus: Large Scale Medical Image Informatics Mining via Deep Learning
Description: A post-doctoral fellowship is available for 2D/2.5D/3D/4D
radiology image processing at National Institutes of Health Clinical Center.
Specific interest areas are image segmentation, modeling, visualization,
pattern recognition, computer-aided diagnosis, multi-organ models, atlases
and registration. In particular, advanced skills in image processing (
computer vision, mathematical modeling, optimization, machine learning) are
sought. The researcher will work closely with staff scientists, imaging
specialists and clinicians and have access to state-of-the-art whole body
MRI, MRI-PET, CT (Siemens Flash & Force), advanced graphics workstations and
parallel processing clusters. Basic Qualification: Ph.D. in Computer
Science, Electrical Engineering, or related discipline; 4-5 years of
experience (including Ph. D. study) in Computer Vision, Machine Learning, or
Image Understanding domain, along with successful demonstration of key
responsibilities. Desirable Qualification: Strong theoretical and practical
background in computer vision, image and video analysis is highly
appreciated, such as object detection and recognition, statistical pattern
recognition, machine learning, sparse methods and applied optimization.
Prior knowledge about medical imaging is a plus but not a must; Enthusiasm
on solving real world clinical imaging problems using large datasets, and
Hands-on coding skills and ability in C++ and Matlab will certainly be
helpful as well. Initial appointment is for one to two years and is
renewable thereafter on a periodic basis (up to five years upon receiving Ph
.D.). Applications should include a CV, brief statement of research
interests and three letters of reference. Applications are accepted until
the position is filled. DHHS and NIH are Equal Opportunity Employers.
Application Instructions: General Questions, please send to Dr. Le Lu: le.lu
at nih.gov Address official applications to: Ronald Summers, M.D., Ph.D.
Chief, Clinical Image Processing Service and Imaging Biomarkers and Computer
-Aided Diagnosis Laboratory Radiology and Imaging Sciences National
Institutes of Health Clinical Center Building 10 Room 1C224D MSC 1182
Bethesda, MD 20892-1182 USA E-mail: rms at nih.gov http://www.cc.nih.gov/about/SeniorStaff/ronald_summers.html
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