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percent of your work time, spread over the course of the appointment. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit our website about working as a PhD
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percent of your work time, spread over the course of the appointment. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit our website about working as a PhD
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geospatial workflows on an abstract level, using purpose-driven concepts and conceptual transformations; develop AI and machine learning based technology to automate the description and modeling of data
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infrastructure managers You will be part of a multidisciplinary project with leaders in the domain of infrastructure governance and modelling. You will learn to conduct research independently and grow
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theory, and machine learning. They will have access to a fully equipped lab and benefit from collaborations within the ERC team and across TU Delft. There will be opportunities to present at leading
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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researchers in soft robotics, control theory, and machine learning. They will have access to a fully equipped lab and benefit from collaborations within the ERC team and across TU Delft. There will be
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techniques, high-throughput screening and precise genome editing. Your job You will join the Vlaming lab , within the Genome Biology & Epigenetics division. The aim of your PhD project is to learn
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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learning environments based on pedagogies that promote justice and fairness. To address this need, the Centre for Learning and Teaching (CLT) is offering a fully funded, 4-year PhD. The selected candidate