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), with particular emphasis on fairness and privacy. Duties and responsibilities may change over time. The successful candidate will be part of the Deep Data Mining group and Responsible Artificial
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and core classes in Python, Java and C. Advanced areas of instruction include systems, real time and game programming, data mining, databases, security, theory, and artificial intelligence
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science/data mining with a focus on natural sciences in heritage science, the goal of qualification being a habilitation or achievements appropriate to habilitation (according to §27 KV). This full-time
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. Experience running data analytics teams using the latest data mining, machine learning and/or artificial intelligence techniques. Broad experience in multiple competency areas of data and analytics delivery
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): Sales (60%) Manage a portfolio of accounts to achieve retention of business and promote referrals for lead development; conduct research and mining of potential new clients on a weekly basis. Solicit a
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evidence of specialized training, education or publication in the area the candidate will teach, which may include the following relevant areas: PowerBI, data mining and analysis; interface design; visual
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network data science algorithms for mining molecular multi-omics and medical data to improve multiple tasks of precision medicine and discover new precision therapeutics. The successful candidates will work
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environments Experience with: structured design, development, and implementation of new computing architectures a variety of data sources (SAP, exposure to dashboards, OLAP and data mining tools, SQL, Oracle
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expert searching practices. Explores new tools and approaches, including text and data mining and artificial intelligence applications. Works with the Coordinating Bibliographer for Dental Medicine
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with specializations in data science and actuarial science. More information about the department is available at https://www.sdsmt.edu/academics/academic-departments/mathematics/ . South Dakota Mines is