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Services. For more information, please visit: https://www.unr.edu/facilities Exempt No Full-Time Equivalent 100.0% Required Attachment(s) Please note, once you submit your application the only attachment/s
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years of maintenance experience. -Familiarity with PeopleSoft CFS environment. -Experience in Accounting, Finance, or Information Technology. -Familiarity with data mining software. -Knowledge of global
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 10 hours ago
Relations Office is nonetheless pleased to be able to award a limited number of scholarships to international students already enrolled at BTU. You can find more information on BTU scholarship opportunities
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! Submit a resume/cv and cover letter. Additionally, if you have a digital portfolio or website, showcasing past digital humanities projects, such as digital exhibits, text mining analyses, data
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undergraduate research. For more information, please visit: https://www.unr.edu/undergradresearch Contact Information Staci Sipaila at ssipaila@unr.edu Exempt No Full-Time Equivalent 100.0% Required Attachment(s
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Qualifications: MD or PhD in public health, epidemiology, statistics, biostatistics, math, or quantitative social sciences plus two years’ experience preferred. Experience with machine learning, data mining, and
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Engineering; Electrical and Computer Engineering; Mechanical Engineering; Materials Engineering; and Mining Engineering. The Faculty’s core purpose is to discovery, design, innovate, provide unwavering top-tier
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to this position. Please refer to http://www.nevadaasun.com/documents/ for more information. Posting Close Date Note to Applicant A background check will be conducted on the candidate(s) selected for hire. HR will
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frontiers of understanding in the service of ethical stewardship and the benefit of all. Please find more information here: https://www.unr.edu/planetarium Contact Information Beth Jacobsen at 775-682-8787
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. Analyzing both quantitative and qualitative data including methodologies such as multiple regression, thematic analysis and text mining. Transcribing and coding qualitative data using software packages