292 parallel-programming-"NTNU-Norwegian-University-of-Science-and-Technology" positions at Harvard University
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leadership of management and resources so that the Center can deliver pioneering research, programming, and community development consistent with BKC’s mission. Determine the allocation of Center resources
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medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date. Work/Life and Wellness: Child and elder/adult care
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with Word, Adobe Acrobat Pro, Excel, PowerPoint, and ability to learn new software programs as needed. Additional proficiency with internet applications, such as YouTube, Google Drive, etc. A proactive
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to apply for positions and participate in its programs and activities. If you would like to request accommodations or have questions about the physical access provided, please let your recruiter know. Work
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Certificates (RECs)). This includes staying informed of energy rebate, conservation and efficiency programs sponsored by external utilities as well as city, state and federal programs; advocates for and
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institutionalize business, technical, and process knowledge; interest and ability to assess and improve work processes AV installation experience Crestron Programming experience Preferred experience in computer and
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launch of a new Opportunity Evaluation and Markets Initiative that uses newly developed big data matching methods to systematically evaluate social programs and scale successful programs. This is a rapidly
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process for faculty and doctoral recruiting: distribution of candidate material, planning and coordination of visits, and compliance with recruiting guidelines May organize and plan logistics for seminars
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programs, research, and faculty, please visit: www.gse.harvard.edu Work Format Details This is a hybrid position that is based in Massachusetts. Additional details will be discussed during the interview
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the Data Science Master’s program and the Area Chair in Computer Science based on need and candidate preference and expertise. Assignments will be taken from a set of courses in machine learning and data