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machine learning and neuromorphic hardware is to utilise material platforms that exhibit multiwell behaviour. One challenge here is to understand and control the dynamic response of the system for complex
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FTE (4-5 days per week) and we require that you work on campus at least 2 days per week. On the other days, it is possible to work from home. We ensure you are provided with a notebook computer and
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eager to apply and valorize scientific results in this field in high-tech domains such as semiconductor machines and robots, together with highly innovative companies? Would you like to work in a team of
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the attractiveness to the users, we need innovative designs where fixed and flexible services support each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and
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to coffee machines, and from reception services to procurement and library services. Facilities Services aims to provide students and colleagues with a learning and working environment in which they can work
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timescales—through natural selection acting on genes, developmental experiences, and learning in context. To illustrate, animals might exhibit anxiety in the absence of immediate threat when encounters with
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will include boosted final states. The analysis strategy is strongly focused on advanced machine learning techniques, developing attention-based transformer models that will directly classify events from
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marketing, and statistics is a strong advantage. • Excellent verbal and written communication skills in English; Dutch is strongly preferred. • The ability to adapt and learn quickly, work independently, and
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to protect AI models against data leakage during inter-departmental information sharing. With the National Police heavily relying on sensitive data exchanges, this research will develop secure machine learning
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strong organisational skills Excellent computer skills, especially the usage of Microsoft Office applications Specific Skills Students must have successfully completed at least 2 years of an undergraduate