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provide assistance in organising workshops and advisory board meetings. The post is for two years and represents an exciting opportunity to acquire valuable research experience, to contribute
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on post-training methods for these low-resourced languages, for example, by investigating the role of synthetic data, among other data augmentation techniques, and the role of in-context learning in
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provide assistance in organising workshops and advisory board meetings. The post is for two years and represents an exciting opportunity to acquire valuable research experience, to contribute
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. The research will bridge both established and emerging technical expertise within the section, encompassing areas such as FPGA and neuromorphic computing, Edge AI, machine learning, power electronics, and self
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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics
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, supervisor, and scientific community, promoting the lab's reputation, write reports for sponsors, research grants, and submit publications to journals Teach, supervise, and mentor undergraduate, PhD, and
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a final report. Active collaboration with project partners is also expected. Your profile Applicants should hold a PhD in mechanical engineering at the time of starting the position. The selected
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successful candidate will have previous experience in computer science or data science, with a PhD and publications in at least one of the following areas: Formal modelling and verification of business
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the disparities. While foundation models offer great promise for creating more robust machine learning models for a wide array of tasks, it remains an open problem how to foresee their biases across that wide array
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analysis Close collaboration with an interdisciplinary team. Research and teaching efforts at a section and departmental level as appropriate and relevant (e.g., teach and supervise MSc and PhD student