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Memorial Sloan-Kettering Cancer Center | New York City, New York | United States | about 1 month ago
; comfort mining financial data to identify trends, size opportunities, and quantify potential impact. Executive-level collaboration, influencing, and negotiation skills, with the ability to partner across
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | about 1 month ago
Analysis), CPSC_V 340 (Machine Learning and Data Mining), CPSC_V 416 (Distributed Systems), CPSC_V 425 (Computer Vision), CPSC_V 427 (Video Game Programming), CPSC_V 436C (Cloud Computing) and APSC_V 160
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University of California San Francisco | San Francisco, California | United States | about 2 months ago
anomalies, and work to continuously improve data quality. * Provide technical expertise in data storage structures, data mining, and data cleansing. * Lead and participate in dissemination of best practice
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, software development, knowledge representation, machine learning, text mining). Relevant data analysis and programming skills (e.g. Python, R) are required. This is a full-time post (35 hours per week), and
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Status: Closed Applications open: 24/03/2025 Applications close: 25/07/2025 View printable version [.pdf] About this scholarship Description/Applicant information Disclaimer - This scholarship is
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using a variety of data extraction tools (e.g., web-scraping, data mining). S/he will independently carry out data management, visualization, wrangling, and analysis tasks. The Data Scientist will assist
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, for initially up to three years (exten-sion possible), starting preferentially in September 2025 or as soon as possible thereafter. • A gross salary up to E13 TV-L. Salary will be deter-mined in
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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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, Data Mining, and Artificial Intelligence. The typical teaching load is four courses per semester. Key responsibilities include: Course/curriculum development Student advising Industry outreach Student
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of technical and analytical experience developing data models, data mining and segmentation techniques. Preferred Qualifications: Master's degree in Computer Science. Progressive experience in general technology