116 learning-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in Netherlands
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problems, numerical mathematics, optimisation, machine learning and imaging physics, with applications ranging from medical and industrial imaging to geophysics. For more information, please visit
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distribution, which lead to an extremal analogue of Gaussian structural causal models. We further propose to develop scalable structure learning methods for these new models, including latent variable
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to support your PhD trajectory. Your supervisors will be Dr Catrien Notermans, Dr Sonja Marzi, Dr Elke Linders. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit
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for people and planet. Together we create a safe and respectful working and study climate, and an inspiring environment for education and research. Learn more about our codes of conduct We are located
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techniques from mathematical modelling, machine learning, uncertainty quantification, distributed decision-making, or other data-driven approaches. Your duties and responsibilities in this 4-year project
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seeks to connect with social movements, protest, and conflict. Please follow the links to learn more about the Cultural Anthropology Department and the Sovereignty and Social Contestation Research
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or another relevant field; the ability and enthusiasm to learn and apply quantitative and qualitative methods within HTA; an interest in cross-disciplinary work within HTA; good oral and written communication
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or constrain Amsterdam’s long-term strategies for green urban transitions? What can Amsterdam do to improve the strategic capacity of its governance system by learning from international examples? The project
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design. The programme aims to promote social science with the city. Whether working with activists or policymakers, medical doctors or social workers, the goal is to learn from local partners and work
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skills. Fluent in English, both spoken and written. Willing to learn the Dutch language. TU Delft (Delft University of Technology) Working at TU Delft means contributing to solutions that really make a