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an organization with an important societal mission, contributing to knowledge development, education, and enlightenment that promote sustainable, fair, and knowledge-based societal development Committed colleagues
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for more than one PhD Research Fellowship period at the University of Oslo. Place of work is Integreat - Norwegian Centre for Knowledge-driven Machine Learning at University of Oslo at Blindern, Oslo. We welcome
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. The position is funded by the Center for Anytime Anywhere Analytics (CA3). This is a full-time, on-site role located in Aarhus for a Postdoctoral Fellow at the Department of Computer Science, Aarhus University
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-driven methods for power system stability assessment and control with stochastic resources Job Requirements: PhD degree in Electrical Engineering or related subjects. Expert knowledge in power system
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range (or hiring range ) represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting. This position is not eligible for overtime
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their high school diploma. The candidate should have expertise in data analysis and be able to implement data analysis tools in a suitable programming language. It is also advantageous with knowledge and/or
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, and social and public policy in a School committed to research that serves the public good. This post sits within RISK-LABS: Risk Societies: The Global Firm as a Laboratory of Risk Management, 1280–2030
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power grid operation considering low-probability-high-impact contingency events Job Requirements: PhD degree in Electrical Engineering or related subjects. Expert knowledge in power system risk analysis
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duties under the Equality Act 2010. Including fostering good relations and advancing the universities Public Sector Equality Duty (PSED). Other relevant criteria from our equality and diversity knowledge
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of Biomedical Engineering and Imaging Sciences (https://www.kcl.ac.uk/bmeis ) is a cutting-edge research and teaching School dedicated to development, translation and clinical application within medical imaging