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you eager to make AI more sustainable? As a PhD Candidate, you will develop innovative methods for predicting and reducing the energy consumption of large-scale AI systems during their design phase
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fundamental research on the evolution of massive binary stars, with a special focus on the systems that give rise to gravitational-wave sources. This theoretical project will be at the intersection of stellar
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they end their lives as black holes or neutron stars. This will be the topic of this PhD thesis. As a PhD candidate, you will conduct fundamental research on the evolution of massive binary stars, with a
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interested in writing to learn and learning to write in the age of AI? As a PhD candidate, you will investigate these topics at the intersection of (foreign) language learning and technological developments
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you fascinated by the human voice and what it reveals about the person speaking? Do you care about the privacy implications of speech data and supporting the development of responsible AI for speech
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% discount on the sports and cultural activities at Radboud University as an employee. And, of course, we offer a good pension plan. We also give you plenty of room and responsibility to develop your talents
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-throughput experiments to train AI tools to predict properties of complex mixtures? Then join our team as a PhD candidate! Chemistry is a science of mixtures. Whether you think of complex formulations for drug
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scientist who likes to work with and/or develop new spectroscopic instruments? And do you hold a Master's degree in physics (photonics), electrical engineering or a related field? If so, then you have a part
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want to contribute to the next level of self-driving labs? Are you excited about the application of high-throughput experiments to train AI tools to predict properties of complex mixtures? Then join our
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short period, but how does learning itself develop? Join our research team to follow infants from 5 and 10 months to 2 ½ years to answer this pressing question. You will use a novel neuroscience tool