| | Title: Research Fellowship in Deep Learning Applied to Computational Pathology at Harvard Medical School | Posted: June 15, 2015 | | Company/Institution: Beth Israel Deaconess Medical Center and Harvard Medical School | | Location: Boston, MA | | Department: Pathology |
Description: The laboratory of Dr Andrew Beck at Harvard Medical School and the Beth Israel Deaconess Medical Center (www.becklab.hms.harvard.edu) is seeking highly motivated individuals for a post-doctoral fellowship to develop and apply methods in deep learning to solve problems in the emerging field of computational pathology. The positions are fully funded for 3 years, with potential for longer-term positions and academic advancement. The work will involve collaborations with top scientists at Harvard Medical School in the fields of machine learning, deep learning, cancer genomics, and cancer pathology.
The ideal candidate will have a PhD in Computer Science or a related field with experience in developing and applying deep learning to challenging problems in computer vision and a passion for developing and applying methods in deep learning to solve challenging problems in cancer research leading to the development of novel data-driven diagnostic tools for cancer detection, risk prediction, and diagnosis.
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Application Instructions: To apply, please send your CV, a statement of research interests, and contact information for three references to jobs@becklab.org
Relevant Publications:
http://becklab.hms.harvard.edu/files/becklab/files/sci_transl_med-2011-beck-108ra113.pdf
http://becklab.hms.harvard.edu/files/becklab/files/journal.pone_.0114885.pdf
http://becklab.hms.harvard.edu/files/becklab/files/9789814644730_0029.pdf |
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