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Generative Artificial Intelligence (GAI) is rapidly transforming higher education, yet most current GAI systems are designed to support individual productivity rather than collaborative learning
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Generative Artificial Intelligence (GAI) is rapidly transforming higher education, yet most current GAI systems are designed to support individual productivity rather than collaborative learning
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development support to help you plan your next career step. At HST, our values – Share. Care. Dare. – shape the way we collaborate, support one another and create knowledge with societal impact. Learn more
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intelligence and machine learning, with areas such as enzyme discovery and engineering, metabolic pathway design, genetic-code engineering, protein engineering, and the biosynthesis or biological incorporation
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scientific problems in a systematic way and you are able to document and analyse your results carefully, including handling experimental data for Machine Learning workflows. As a person, you are collaborative
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material dynamics that shape embodied learning across four vocational programmes (to be selected in collaboration with the postdoctoral researcher). The project comprises three subprojects. The postdoctoral
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studying how wireless sensing and AI interact in real systems. The work will be carried out in close collaboration with researchers in wireless communications, sensing, machine learning, and robotics, with
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visualisations of the project results assisting with literature searches and summaries of research on AI in education, adaptive learning, self-regulated learning, and learning analytics collaborating with
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) for education and professional practice, both at the individual level and/or in collaborative contexts. The project should explore how AI and other emerging digital technologies shape and transform work tasks
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epidemiology, and working with methods like random forest and targeted learning, the candidate will contribute to the development of interpretable survival models and doubly robust estimation methods