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Research Assistant

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Company :
McGill University

Location :
McGill, California

Expiry Date :
Wed, 07 Apr 2021 23:59:59 GMT

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Description :
New part-time position, as Machine Learning programmer , in the Salavati’s group (Institute of Parasitology): Our lab uses computational and experimental methods to characterize gene regulatory mechanisms of Trypanosomatid pathogens (The parasitic unicellular organism, causal agent of human and livestock diseases). We are involved in the characterization of RNA secondary structure and transcriptomics and the development of high-throughput methods for identifying novel chemical inhibitors that interfere with gene regulatory mechanisms. Position Summary: Required to write various Machine Learning (ML) models to feed our RNAseq data for analysis and comparison. Ideal candidate will be a python programmer with previous experience writing ML programs and enthusiastic about performing a literature search to develop novel ML models leading to possible co-authorship on future publications. Having a general knowledge about graph theory and ML on graphs would be a bonus. Job duties: Analysis of biological data using ML Attend occasional research meetings Contribute to data analysis Read related research literature The above can be performed remotely. Qualifications: Working towards Master’s degree in Computer Science or Related fields. Hourly Salary: $20.00 Hours per Week: 15 (Part time) Location: Parasitology Bldg. Supervisor: Professor Position Start Date: 03/15/2021 Position End Date: 08/31/2021 Deadline to Apply: 03/13/2021 McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, or .