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Organisation Job description Topic of research: Friction-switchable surfaces Computer chips are the building blocks of all modern technology. The smallest structures on the most advanced chips
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PhD position Friction-switchable surfaces (1.0 FTE) (V24.0323) « Back to the overview Job description Topic of research: Friction-switchable surfaces Computer chips are the building blocks of all
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expected. • A university PhD training programme is part of the agreement and the successful candidates will be enrolled in the Graduate School of Science and Engineering. The starting date is flexible, but
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with: a (research) master's degree (or equivalent) in Artificial Intelligence or Computer Science (or a related discipline with specialisation in machine learning or computer vision) good programming
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involve a combination of qualitative and quantitative methodologies. As the successful candidate, you are well-versed in topics relating to climate, tourism, and technology in order to skilfully balance
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Requirements We are looking for an enthusiastic and talented PhD candidate with: - a (research) master's degree (or equivalent) in Artificial Intelligence or Computer Science (or a related discipline with
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strong interdisciplinary connections with other institutes in the Faculty of Science and Engineering, and the Dutch Origins Center. English is the common language spoken at the institute. We seek excellent
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to become a truly global centre of knowledge. Within the Faculty of Science and Engineering, a 4-year PhD position is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial
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at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence with the topic in multisensory autonomy for intelligent mobile systems. The candidate would become a member of the Intelligent
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training program is part of the agreement and the successful candidates will be enrolled in the Graduate School of Science and Engineering. This training program will be completed with training on artificial