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Opportunity: Research Experiences for Undergraduates (REU) in Oncinfo Lab @ Texas State University -- San Marcos, TX (US)
Submitted by Dr. Habil Zare; posted on Friday, January 20, 2017
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BACKGROUND
Two undergraduate payed, research opportunities are available in Oncinfo Lab starting in June 2017 and ending July 2017. These are part of the NSF-supported REU program.
The successful candidates will contribute to development and application of cutting edge computational methods to analyze RNA-seq and other expression data from large cohorts. They will contribute to highly collaborative studies which are designed to infer biological information from gene networks by modeling data using Bayesian networks, co-expression networks, and so on. The results are expected to be published in highly ranked journals.
Dr. Habil Zare is the founder of Oncinfo Lab which has active collaborations with the British Columbia Cancer Agency, an outstanding research reputation in oncology throughout the world. Also, Oncinfo Lab collaborates with R&D departments of top pharmaceutical companies such as Pfizer and Novartis. See oncinfo.org for more details. Texas State University is located in Greater Austin Area, Texas. It is an Emerging Research University aiming to become a National Research University in the future.
RESPONSIBILITIES
Writing code, running experiments, literature review, writing papers and preparing posters.
REQUIREMENTS
- ONLY US citizens or permanent residents can apply.
- Applicants should be undergraduate students.
- They should have completed data structures, computer algorithms classes, or their equivalence.
- Good knowledge of at least one programming language is required (knowing R is a plus).
- Women, minorities, first generation, and two-year college students are encouraged to apply.
PREFERENCES
Strong candidates have some background in biology and computer programing. However, exceptionally capable candidates with little background who are highly motivated for learning new concepts and techniques will be considered. Ability for critical thinking and independent learning, writing code, and excellent written and oral communication skills are essential.
Other preferred qualifications: A record in publishing scientific papers, familiarity with machine learning, mathematics, computational biology, bioinformatics, statistics, R, prior research experience in a related field, or experience in multidisciplinary research can increase chance of acceptance.
LOCALE
Greater Austin Area, TX, USA
COMPENSATION
Stipend: $4,500 for 9 weeks
Travel reimbursement of up to $600
Free on-campus housing
Meal allowance: $100 per week
HOW TO APPLY
Interested candidates are encouraged to first email a current CV to Dr. Habil Zare at their earliest convenience. While the position is open until filled, late communication can decrease chance of acceptance. Also, the candidate should apply to the Department of Computer Science at Texas State University before the university deadline, March 1, 2017.
Visit cs.txstate.edu/~h_z14/ for the PI's contact information,
Visit reuiot.cs.txstate.edu/ for a short description of the past proposed project.
DEADLINE
March 1 2017, but contact as soon as possible to increase your chance of acceptance.
POLICY
Texas State University is an Equal Opportunity and Affirmative Action Employer and encourages applications from women, minority, and international candidates.
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