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of data mining methods, experience in natural language processing (desirable) Excellent command of spoken and written English Econometric knowledge, familiarity with econometric software (e.g. R, STATA
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relationships with peers, hiring managers, and prospective applicants is essential. Strong analytical skills for data mining, best practice research, and implementation plans, Proficient in MS Office and
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to real life, while the team has a strong expertise in field robotics. Specific application areas of focus are robotics for mines, aerial inspection of aging infrastructure, multi-robotic search and rescue
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experience using Excel, and strong data mining skills Experience documenting processes and workflows Experience establishing and maintaining collaborative relationships with key stakeholders Extensive
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will contribute to the intellectual life at the department and the university. See here for some of our theory group achievements: https://cstheory-georgetown.github.io/ Our faculty perform research in
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of personnel management experience. Additional Qualifications ConsideredEmpty heading Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 5 hours ago
supervision Yes Research training / discussion Yes Career advisory services and programmes for future professionals The BTU Career Center (https://www.b-tu.de/en/careercenter ) offers extensive support to
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teaching-track faculty and 54 tenured and tenure-track faculty with wide-ranging research interests, and strong research groups in cybersecurity, systems and networks, machine learning and data mining
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production, mining, tourism as well as primary production, are planning investments that simultaneously utilize and have various kinds of effects on local livelihoods and communities as well as sensitive
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are a plus has a strong profile in text and data-mining and has a notion of omics data integration is willing to work in a highly multi-disciplinary environment had academic good performances