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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
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 commitment
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and student recruitment activity are informed by the wider market context. Identify patterns and trends. Perform data intensive analysis through informed data mining and associated data research methods
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stakeholders, collect and analyze data related to clinical placements, and recommend improvements based on findings. ? Stay updated on CUNY, Hunter College, and School of Nursing policies and systems related
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analysis, interactive data visualization, programming or similar software applications. Knowledge of use of data mining. Ability to research and develop statistical learning models for data analysis. Ability
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. Workable knowledge in medical terminology is required. Strong computer skills in areas of data mining and data analysis are desired. Coding certification is desired. Additional Information: Location
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Department Information The Department of Biology has more than 900 biology majors, 350 neuroscience majors, around 80 graduate students, 24 tenure ladder faculty, and 11 teaching professors. Extramural awards
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(NLP), information retrieval, or data mining. Knowledge of date engineering, web scraping, data science and analytics, reinforcement learning and NLP is essential, as is experience of planning and
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-ethnic environment with sensitivity and respect for diversity Desirable: Experience in cheminformatics, molecular modeling, or enzyme mechanisms Familiarity with databases, data mining, and knowledge
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network issues; install, configure, maintain, and repair computer systems and related equipment; and support daily IT operations to ensure reliable access to campus computing resources. Responsibilities
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comprehensive budget process and analysis of financial data. ? Provide strategic financial guidance for decision making related to resource allocations and operational planning. ? Develop a master staffing