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the world. WORK PERFORMED Projects will be tailored to the successful applicant's scientific interests and career goals. Current areas of research include: Engineering next-generation Tregs using
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tracking system building in appropriate safety checks. Creation of source documents and Case Report Forms as directed by the data manager utilizing established SOP and an existing computer design program
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convection. The objective is to develop reduced but realistic models of cumulus life cycles that may be applied toward cumulus parameterization and/or machine-learning algorithms for predicting short-term
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and familiarity with psychiatric questionnaires and interviews; Demonstrated experience with computers and computer software including MS Word for Windows, MS Excel, Power Point and SPSS; Effective oral
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validation of machine learning and artificial intelligence algorithms for biomarker discovery and treatment selection in gynecologic cancer. The incumbent performs a variety of moderately complex technical
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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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Economics, Statistics, Computer Science, or, Mathematics. The ideal candidate will have: - a strong quantitative background, preferably in economics; - strong computer skills, such as programming, data
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supervision. Qualifications: Masters in Civil Engineering Ability to use scientific instruments and machines Ability to apply critical thinking to laboratory procedures. Ability to observe, collect, and record
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required: Preference will be given to psychology, linguistics, or other related major to Speech-Language Pathology (e.g., education, pre-med, etc.) Current or previous coursework in language development
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Qualifications Undergraduate university degree in Psychology preferred. Completion of courses in Research Methods and Statistics in Psychology an asset. Computer experience. Experience with design and maintenance