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to electronics, mechatronics, programming, IoT, and robotics, and be able to develop their teaching and research activities in these areas. The Management and Data area focuses on innovation in the use of products
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Apply now Job no:537220 Work type:Full Time Location:Sydney, NSW Categories:Student Services, Marketing / Communications Student Communications Officer Employment Type: Full Time (35 hours per week
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Job Description The Office for Academic Personnel and Faculty (APF) is a coalition of strategic partners focused on serving the University of Washington’s current and prospective faculty, librarians
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research utilizing multiple imaging modalities and a total of 14 imaging systems. The CIF provides researches with the ability to visualize a vareity of samples, from monolayers and small organisms, such as
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. . RECIPIENTS: Undergraduate degree in areas related to Land Use Planning, Civil Engineering, Geological Engineering, and currently enrolled in a master's degree in Geographic Information Systems and Sciences
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and operation code at the Funds Platform (Balcão dos Fundos) NORTE2030-FEDER-01198000, co-financed by the European Union through the NORTE 2030 Regional Program, of Portugal 2030, under the following
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consultation, development, provision, and maintenance associated with: course delivery over a statewide interactive video system, all audio/visual equipment services, operation and use of the campus telephone
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
. PREFERRED: Experience with Tableau or other data visualization tools; familiarity with Cognos, SQL, Kuali Coeus, or Brio Query; and experience in research administration. This role requires weekly on-campus
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Mansfield State Pennsylvania Zip Code 16933 Bargaining Unit APSCUF-Coach Work Location Position Type Coach Temporary/ Permanent Permanent Full-time/ Part-time Full-Time If Part-time, specify percentage
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, applied statistics, and data analytics as part of IAS’s rapidly growing BA and BS degree programs in Data Visualization and Data Analytics, specifically Intro to Data Studies and Data Visualization, and