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BACKGROUND

A part-time position is available for a highly motivated and skilled Research Associate (RA, post-Ph.D.) to take a leading role in the development of new computational prediction tools. The position will be held within the Michael Smith Laboratories (MSL) at the University of British Columbia (UBC), under the supervision of Prof. Jörg Gsponer.

REQUIREMENTS

The successful applicant must have a Ph.D. in computer science, and at least 5 years of post-doctoral research experience. Candidates with specific experience in machine learning methods such as SVMs and Deep Learning will be strongly favored. Moreover, candidates must have experience in developing prediction tools for intrinsically disordered proteins and protein conservation. The project will focus on the development of new predictors of interaction-prone regions in intrinsically disordered proteins as well as sites that bind them. Excellent oral and written English communication skills, the proven ability to work as part of a team, and demonstrated project leadership capabilities including formal report writing are essential. The applicant is expected to have published in high-profile journals.

LOCALE

University of British Columbia, Vancouver, BC, Canada

COMPENSATION

The appointment will initially be for one year with a minimum salary commensurate with the rank of Research Associate (see https://hr.ubc.ca/managers-admins/recruiting-and-hiring/faculty-recruitment/faculty-titles-ranks-and-descriptions-1#7), plus benefits. This position is expected to be part-time (50%). This may be expended should more funding be awarded.

HOW TO APPLY

Qualified Applicants should submit a cover letter including contact information for three professional references, and a curriculum vitae including a list of publications (n.b. do not include reprints). Application materials should be combined into a single PDF document and be uploaded through the UBC Careers website http://www.facultycareers.ubc.ca/38282.

DEADLINE

The closing date for applications is October 14, 2020.

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