19 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" PhD positions at Radboud University
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statistical analyses more robust. We are looking for a research assistant to contribute to the development of bamojax(link is external) (Bayesian modelling in JAX), our open-source Python toolbox
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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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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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like to contribute to an ambitious research project combining behavioural studies, fMRI and computational modelling? If so, then we invite you to apply for this PhD position in the Cognitive Neuroscience
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to foreground the experiences and expectations of Indo and Indonesian communities affected by colonialism. Recent developments like the Rhodes Must Fall movement have highlighted the need to address historical
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You will join t he Decision, Development and Psychopathology (D2P2) lab and your supervisory team will consist of Bernd Figner, Kim Fairley (both Radboud University), Kirsten Rohde (Maastricht