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candidates follow courses and assist in teaching Earth Sciences at Bachelor's and Master's level. Together these activities amount to twenty percent of the contracted time. Your qualities The project combines
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expected to be able to act independently as well as to collaborate effectively with members of a larger team and supervise Master students. Good English skills are required. The work takes place in Delft
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kinetics under physiologically relevant conditions Conduct in vitro biological validation using primary human cells such as osteoblasts and mesenchymal stromal cells Develop advanced 3D culture models
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to the adaptation of the Environmental Noise Directive for these new technologies. Your main focus will be to develop machine learning-based drone noise models that will be able to generate an accoustic footprint
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brings together expertise on transition management and Science and Technology Studies (STS). The main goal is to further co-develop with the field hands-on methods to support the responsible, societally
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Conduct original and novel research in the field of Computer Vision and Machine Learning Develop and analyse novel deep-learning methods to learn for visual representation learning; Publish and present
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. The project has two main aims: Understanding organoid patterning – controlling organoid formation from pluripotent stem cells to study signalling centres, cell–cell communication, and tissue boundary formation
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approach that combines semantic material data, design-for-circularity, and hub logistics to scale high-quality reuse in regional infrastructure ecosystems (primary focus: Twente; validation: Brabant). Reuse
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networks, with a primary focus on network size, composition, resources, and overlap. In addition, you will work closely with the SHINE postdoctoral researcher to collect qualitative data aimed
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career and not yet have been awarded a doctoral degree at the time of recruitment. At the time of the application deadline, you must also have a Master's degree and must not have resided or carried out