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of artificial intelligence (AI) and how it can be incorporated and utilized in data mining and analysis of large datasets. Preferred Qualifications A master’s degree or higher in civil engineering or a related
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statistics, microbiology or a related field; a strong interest in plant-microbe interactions and data mining including very good data analyses skills and knowledge on application of statistical tools teamwork
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
that specialize on a wide range of topics, such as Software Engineering, Machine Learning and Data Mining, Quantitative Finance, Mathematics, and Applied Statistics. This search aligns with the University’s
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the Department’s existing central research themes around pharmacology and toxicology . The successful candidate will be able to advance Machine Learning and Self Driving Lab approaches in combination with data
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librarians to ensure needed materials are accessible on a timely basis Provides general information in the use of library resources and services Keeps records of library transactions and generates reports
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(including service-connected disabilities), gender (including pregnancy related conditions), military status or military obligations, sexual orientation, gender identity or expression, genetic information
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them to identify career opportunities in Northern Nevada. Dual Career Assistance Program Department Information Scheduling Services manages University-wide space allocations for academic instruction, non
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categories (1) Writing and Reflection (ex. ethics in data science), (2) Computational Methods (ex. introductory pandas, working with large datasets), (3) Analytic Techniques (ex. data mining methods
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for a highly motivated candidate with: a MSc degree in plant biology, bioinformatics and statistics, microbiology or a related field; a strong interest in plant-microbe interactions and data mining
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testing. Ability to learn new software and communicate clearly with others. Strong understanding of database reporting, database structure, data mapping, data management, data manipulation, and data mining