You will contribute to open source computational biology projects such as Segway and Genomedata to facilitate their distribution and deployment. The goal is to make it really easy to install these tools. You will use Python and various Linux tools to develop software and fix current issues. You will write pull requests and code tools for future on going use in our research lab. It is an excellent way to get experience with this bioinformatics software and could lead to a summer research projects on improving the machine learning aspects of the software.
Fix software to allow installing Segway from a Python wheel with a single `pip install segway` command, Develop systems so that Segway and its prerequisites can be easily installed in the following environments: Conda, homebrew-science, Debian (.deb), CentOS/Red Hat Enterprise Linux (.rpm), Docker, Develop software so that these packaging systems are maintained automatically.
At least 2nd year undergraduate in Electrical and Computer Engineering, Engineering Science, Biomedical Engineering, or Computer Science. Experience in Python and Unix environments.
Assistant Professor, Computer Science / Medical Biophysics
Applications for 2018-2019 is now open! Pleae apply through the link below and send your transcript as a PDF to firstname.lastname@example.org
(Please attach your complete transcript from ACORN as a PDF file with filename: REX2018_FISTNAME_LASTNAME).
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