The Knowles lab at the New York Genome Center/Columbia CS has multiple 
NIH-funded positions to work on using diverse flavors of ML (deep learning , 
probabilistic graphical models, convex optimization, causal/network inference) 
and statistical genetics to better understand Alzheimer's and Parkinson's 
disease using large-scale whole-genome sequencing and functional genomics data. 
This work is part of a close collaboration with Towfique Raj's group at Mount 
Sinai Medical School who are experts in the genetics/genomics of 
neurogenerative disease. 

For more details please see the following job ads: 
Predoc: 
https://nygenome-openhire.silkroad.com/epostings/index.cfm?fuseaction=app.jobinfo&jobid=430
Postdoc: 
https://nygenome-openhire.silkroad.com/epostings/index.cfm?fuseaction=app.jobinfo&jobid=431
Scientist (PhD+2y): 
https://nygenome-openhire.silkroad.com/epostings/index.cfm?fuseaction=app.jobinfo&jobid=432
or feel free to email me directly (daknow...@cs.columbia.edu). 

Please forward to relevant trainees/mailing lists that you think might be 
interested. 

Thanks! 

David. 

-- 
David A. Knowles, PhD.
Core Faculty Member, New York Genome Center.
Assistant Professor, Computer Science, Columbia University.
Interdisciplinary Appointee, Systems Biology, Columbia University.
Affiliate Member, Data Science Institute, Columbia University.
https://daklab.github.io/

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