66 coding-"Multiple"-"Integreat--Norwegian-Centre-for-Knowledge-driven-Machine-Learning" positions at University of British Columbia in Canada
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, maintenance and ongoing development of continuous build/ integration infrastructure; creating and maintaining fully automated CI build processes for multiple Mulesoft and AWS environments; writing build and
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for multiple Mulesoft and AWS environments; writing build and deployment scripts. The incumbent plays an important role in all aspects of the planning, implementation and operation of an enterprise-scale data
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for multiple Mulesoft and AWS environments; writing build and deployment scripts. The incumbent plays an important role in all aspects of the planning, implementation and operation of an enterprise-scale data
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for multiple Mulesoft and AWS environments; writing build and deployment scripts. The incumbent plays an important role in all aspects of the planning, implementation and operation of an enterprise-scale data
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methodology for data assembly, analysis, and presentation; uses statistical analysis packages (SAS, R, SQL) to analyze administrative database; writes, executes, and assess quality of SAS code to support CNODES
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, and presentation; uses statistical analysis packages (SAS, R, SQL) to analyze administrative database; writes, executes, and assess quality of SAS code to support CNODES projects and MoH deliverables
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quality of SAS code to support CNODES projects and MoH deliverables; documents quality assurance testing and coding methods; interpret results; and responsible for quality of research and results. 4
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multiple individuals to teach 1, 2 or maximum 3 sections in Term 1 and/or Term 2. Course Description: UBC's First-Year Seminar in Science is a 3-credit course which offers a small-class experience where
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and deriving new variables 3) Joining multiple datasets together 4) Working with laboratory personnel to acquire and clean data 5) Developing exploratory graphs and tables 6) Developing reporting and
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clinical research coordination. Experience collecting and analyzing quantitative or mixed methods data. Ability to balance multiple commitments, short deadlines and sensitive clinical or research issues