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To: jobs at ccl.net
Date: Thu Aug 25 14:16:00 2016
Subject: 16.08.25 Postdoc in Deep Learning, UCSF, San Francisco CA
The Keiser lab at UCSF (http://www.keiserlab.org) is looking for highly motivated 
postdoctoral candidates with a background in machine learning, systems pharmacology, 
computational chemistry, bioinformatics, or related fields. The candidate would work to 
integrate deep learning with pharmacology. The project involves the design of deep 
neural networks for the prediction of small molecule binding activities and their role in 
phenotypic screens.

Qualifications

Desired, but not strictly required, skills include experience with theano, lasagne/keras, 
TensorFlow, pandas, rdkit, and sklearn. Expertise with CUDA and/or massive dataset 
analysis (e.g., NoSQL, AWS, Google Cloud) is a plus. A productive track record with at 
least one major first-author publication is required. We seek a driven individual who will 
lead his/her research independently and communicate frequently and clearly to the field.

Environment

Just north of Silicon Valley, the lab's location at UCSF Mission Bay directly adjoins SoMa 
district and heart of SF's tech and artificial intelligence startup scene.
How to apply

Interested candidates should submit a CV and arrange that three letters of reference be 
sent to apply^-^keiserlab.org. Please reference "postdoc-dnn".  

UCSF is an equal opportunity employer.
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Modified: Thu Aug 25 18:16:00 2016 GMT
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