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are included. The PhD Research Fellow will be based in the academic unit Public Administration and Governance at Oslo Business School and will be enrolled in OsloMet's PhD programme in Social Sciences
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, public administration, science and technology studies, economics, or related social science and interdisciplinary fields. Knowledge of technology regulation, EU or administrative law, or digital governance
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REQUIREMENTS The Department of Health Policy and Administration in the College of Health and Human Development is seeking applicants for part-time job of Research Assistant- Health Services Research (Long-Term
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in the i3WaterS training programme, Doctoral Board activities, dissemination, and public-engagement events. The expected research outcomes include: Improved management of District Metered Areas through
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membership. 15.1. Pursuant to section h) of article 9 of the Constitution of the Portuguese Republic, the Public Administration, as an employer, actively promotes a policy of equal opportunities for men and
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examination duties Training and professional development Administrative duties Your profile: A relevant completed Master, Magister or Diplom degree in the fields of statistics, data science, mathematics
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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
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assignments are included. The PhD Research Fellow will be based in the academic unit Public Administration and Governance at Oslo Business School and will be enrolled in OsloMet's PhD programme in Social
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 3 hours ago
translation from circuits to the measurement-based model is easy, translation in the other direction – known as ‘circuit extraction’ – is computationally hard in general [3]. At the same time, polynomial-time
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predictions of river flow direction and connectivity. You will lead the development of scalable and reproducible data and machine-learning pipelines, upgrade the GRIT global hydrography, and design and evaluate