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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
on Qualifications Proposed Start Date Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service
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methods to estimate the causal impacts of public policies. Current work spans the evaluation of housing and social service interventions, the criminal justice system, and the design and targeting of public
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 11 days ago
internship, the student will calculate and evaluate the radiological impact of relativistic electrons accelerated by laser-plasma interaction, estimating doses and dose rates in typical laboratory scenarios
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in the Innovation Hall Maker Space to provide project support, supervision, and direct instruction to students in the use of electronic and computer instrumentation and equipment to make and test
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), state estimation, system identification and design synthesis problems. A key characteristic of dynamic optimization problems (DOPs) is that the decision variables can be functions or trajectories, leading
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the Commission on Colleges of the Southern Association of Colleges and Schools. We invite you to become a part of the Southwest Team! Title: Adjunct Faculty Pool - Computer Engineering Technology Employee
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Basis 12 Pay Method Hourly Pay Period 16th - 15th of the following month Pay Date Last working day of the month Remote or Hybrid option? Min Hourly Rate $15.05 (Standard); $14.05 (Non-Urban); $16.30
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efficient use of time and resources. Able to exercise judgment. Knowledge of clinical or forensic testing methods and associated instrumentation. Email to a Friend https://unmc.peopleadmin.com/postings/96528
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independent judgment. Knowledge of molecular biology testing methods and associated instrumentation. Email to a Friend https://unmc.peopleadmin.com/postings/96529
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100 %, limited until 31.03.2029) The department Computational Social Science (CSS) collects digital behavioral data and provides computer-based methods for collecting and analyzing such data for social