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Field
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and track animals from aerial images Develop image analysis and machine learning algorithm and software for measuring environment and landscape features from aerial images Develop a web-application
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early September, within five business days of the launch of the competition To view instructions and other resources, consult the Canada Graduate Research Scholarship – Master’s program resources web page
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knowledge of website design, development and maintenance A3 A comprehensive and up-to-date knowledge of web-design and crowdsourced repositories Desirable B1 Specialist theoretical knowledge relevant
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in natural sciences and engineering (refer to the Eligibility criteria for students and fellows web page for more information). This support allows scholars to concentrate more fully on their studies
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cross membranes or are integrated into membranes, the physiological and pathological consequences of (im)proper compartmentalization, and develop new technologies for studying cellular function. Overview
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techniques such as machine learning. Compensation will be consistent with Penn State’s standard rates. Job Duties: Develop and maintain web scraping scripts to collect data from various online sources Clean
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children and adolescents, preferably in clinical settings. Experience with data management, statistical software (e.g., R, SPSS), survey development and implementation (e.g., Qualtrics), and coding. Ideal
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the projects’ final execution and launch. Train and mentor team members to provide opportunities for staff training and professional development in expanded and emerging areas. Keep up to date on trends related
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Overview On this page Objective The objective of the Canada Graduate Scholarships – Master’s (CGS M) program is to help develop research skills and assist in the training of highly qualified
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, Python, and Microsoft Word and Excel. Preferences will be given to those with web/data scrapping experiences and/or those with prior experiences with financial research databases such as CRSP, Compustat