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. An affinity with NLP and/or computer vision would also be welcome. You have experience with empirical research in speech technology, evaluating AI systems, and socio-technical factors of AI. You have an
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-economic, and environmental outcomes. As such, you will become part of a cohort of PhD candidates working on related topics, giving ample opportunities for shared learning activities. You will work here This
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. Collaboration is central: you’ll work alongside government agencies, industry partners, and cross-disciplinary research teams. In VTI’s open and reflective environment, you’ll benefit from cross-section learning
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networks, or network science, and relevant background knowledge n methods in machine learning and AI. The successful candidate will focus on innovating the field of network analysis with AI methods. Examples
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investigated. These insights will form a key part of the ‘build, test, learn’ cycle to accelerate the development of further biocatalysts for related ‘new-to-nature’ reactions. The reults will reveal the
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. Change. Impact! Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its
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author in scientific journals and present the main findings at international conferences. Your teaching load may be up to 10% of your working time. Would you like to learn more about what it’s like
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% teaching load. You will also have the opportunity to further develop your skill set by attending courses that are relevant for your project and general development. Would you like to learn more about what
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environment, you’ll benefit from cross-section learning, strong mentorship and tailored training. With minimal hierarchical barriers and access to state-of-the-art facilities, labs and equipment , you’ll be
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you fascinated by the chemistry of the gut microbiome? Are you intrigued to learn more about how the