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rewarding career. Job Summary The Vision of the BC Brain Wellness Program is Brain Wellness, Beyond All Boundaries. We are leveraging the collective power of clinical care, lifestyle programs, education, and
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Columbia is seeking a highly motivated Postdoctoral Research Fellow (Computational Biology and Translational Bioinformatics) to join an innovative translational research program investigating the molecular
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Description The Dr. Neeru Gupta Laboratory in the Department of Ophthalmology and Visual Sciences at the University of British Columbia is seeking a highly motivated Postdoctoral Research Fellow (Computational
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. Organizational Status Reports directly to the program Director (Teresa Liu-Ambrose) Working Relationship The position will work directly and report to the Faculty member who is mounting the studies. This will
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) . About the program/department/team The successful candidate will contribute to an international collaborative research project involving researchers from the Ted Rogers School of Management at TMU and the
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to work quickly to meet sudden deadlines. Very strong interpersonal skills. Computer and data analysis skills (Word processing, EXCEL, Reference Manager or RefWorks, R Studio). Effective interpersonal and
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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
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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
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quantitative data-analysis and scientific computing skills. Ability to independently analyze and interpret complex experimental data. Ability to troubleshoot experimental instrumentation and develop or improve
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to identify molecular processes associated with variation in brain morphology, connectivity and function. The fellow will work at the interface of neuroscience, statistical genomics and computational analysis