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Can you help unlock the data needed for the energy transition? In the NWO-funded SHARE project, you will develop AI models that generate realistic, privacy-preserving synthetic energy data for grid
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unlock the data needed for the energy transition? In the NWO-funded SHARE project, you will develop AI models that generate realistic, privacy-preserving synthetic energy data for grid planning and
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children within authentic educational settings. The project combines experimental research, classroom studies and computational modelling to better understand what makes children curious, how they decide
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help unlock the data needed for the energy transition? In the NWO-funded SHARE project, you will develop AI models that generate realistic, privacy-preserving synthetic energy data for grid planning and
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for autonomous systems, healthcare and rehabilitation. You will design and conduct behavioural experiments and develop computational models of multisensory integration and sensorimotor control, using approaches
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expectations of Indo and Indonesian communities affected by colonialism. Recent developments like the Rhodes Must Fall movement have highlighted the need to address historical injustices and global inequalities
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educational research. You have experience with computational modelling and/or a strong motivation to develop expertise in computational approaches to behaviour. You are able to communicate clearly and
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paradigms. We are also leveraging several analytical tools such as computational modelling and machine learning. As a Research Assistant, you will help collect, analyse and interpret EEG data collected in
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and more than 450 dedicated employees, we form a dynamic community. Our mission ‘Responsible governance for sustainable societies’ is driven by the ambition to make a difference in the
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that employ novel virtual reality and robot-based paradigms. We are also leveraging several analytical tools such as computational modelling and machine learning. As a Research Assistant, you will help collect