133 computer-science-programming-languages-"the"-"U"-"U.S"-"O.P"-"UCL" positions at University of British Columbia
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and Engineering Research Council of Canada (NSERC), and the Social Sciences and Humanities Research Council (SSHRC). The CGRS D program recognizes and promotes the next generation of outstanding
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training to students. Minimum Qualifications Completion of a relevant technical program or a university degree in a relevant discipline and a minimum three years of related experience or an equivalent
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current students, Forestry Program Directors or faculty, UBC departments and units, and the general public. Asks probing questions to determine what students really need, and refers them to the most
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documentation, research program rationales, ethics submissions, and other documents for various research funding agencies. Successful proposals will require management and overall coordination of grant activities
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Date January 1, 2027 This position is posted as a 12 month leave replacement. This position may be extended to match the actual leave dates. The interview process will include a test of skill with MS
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of Biomedical Engineering (SBME). The successful candidate will work on advanced machine learning applications in computational pathology, medical imaging, and clinical text analysis. They will be expected
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representations of human sacrificial practices in Mesoamerica. The successful candidate will have a relevant degree in computer science, software engineering, computer systems engineering, operational research
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to five junior-level research assistants, students, and volunteers at any given time. Minimum Qualifications Completion of a relevant technical program or a university degree in a relevant discipline and a
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REDCap Basic level of computer programming in any language, interest in learning more (e.g., MATLAB) Proficiency with computer programs, including Microsoft Office, Adobe Acrobat, etc. Experience with
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researchers train the next generation of health innovators. Work Performed Develop, program, test, validate, and report on NLP, including LLMs, and other machine learning models for health data extraction and