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We are looking for a motivated PhD candidate in the social and behavioural sciences with a quantitative background for the project “Technostress amongst teachers in primary education”. The aim
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of public goods. In practice, we find that low mobility, limited local autonomy, fiscal equalization, and bailouts result in problems of transparency, accountability, principal-agent relationships, flypaper
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Doughty: https://hazeldoughty.github.io/ Key responsibilities Conduct original and novel research in the field of Computer Vision, focusing on Video Understanding; Design and implement new deep-learning
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PhD Embracing neurodiversity: from stigma to organizational asset through management control 1.0 FTE
the Master phase. The PhD candidate should have a background (MSc, Research Master) in management accounting, management control, human resource management, psychology or related fields. Conditions of
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probabilities Robust stochastic processes Tractable models and decision-making Online/continual learning with evolving data Requirements Specific Requirements Master's degree in Mathematics, Statistics
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autonomy, fiscal equalization, and bailouts result in problems of transparency, accountability, principal-agent relationships, flypaper effects, moral hazard, and more. In this PhD position, you will
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PhD Embracing neurodiversity: from stigma to organizational asset through management control 1.0 FTE
training in research skills, speaks and writes English fluently and has obtained excellent results in the Master phase. The PhD candidate should have a background (MSc, Research Master) in management
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, funded by the NWO Merian Fund. The main use-case in this project is the distributed DT of an intelligent wastewater treatment ecosystem, which has many independently-working units. What are you going to do
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, this PhD position is for you. PhD project is a part of the “Intelligent Wastewater Treatment: Distributed Digital Twin for Clean Water (DDTclean)” project, funded by the NWO Merian Fund. The main use-case in
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division we expect the preferred candidate to conduct original and collaborative research in the framework of the project and complete your PhD thesis within 4 years; publish scientific articles in