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Field
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the UCD School of Mathematics and Statistics. The successful candidate will lead research focused on developing a scalable, AI-driven quality control (QC) system for synoptic and climate observation data
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scientists wanting to transition from PhD student to junior group leader. It supports young scientists in exploring their own ideas and testing new hypotheses. High-risk, high-gain projects are encouraged
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Motivated, ambitious and self-driven candidates with a PhD degree in a relevant field (chemistry or related) interested in metal recycling are encouraged to apply. Experience in the fields of coordination
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dedicate themselves to advancing the state of knowledge in their chosen research area. Criteria of the candidate: PhD degree in Computer Science or Applied Mathematics Strong publication track record in
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fields – supporting the rapid growth and evolution of computer science and computational areas of allied fields such as mathematics, as reflected notably in the rise of artificial intelligence; computing
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modeling (in particular coastal research and climate research) are potentially of interest. Your profile You should have a master's degree and PhD degree in computational engineering, applied mathematics
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. There will be opportunities to contribute a small amount of teaching to the department, of at most three hours a week during the academic terms. You will have, or be close to completing, a PhD in mathematics
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immersive environments. You will be embedded within the Interactive Intelligence Group in the Department of Intelligent Systems at the Faculty of Electrical Engineering, Mathematics and Computer
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moiré physics Supervision and mentoring of PhD students and master/bachelor students within the group Dissemination of results through publication in peer-reviewed journals and presentation
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Qualifications Education PhD in Physics, Physical Engineering, Computer Science, Mathematics, or other related field. Experience and Technical Skills Research experience in quantum information and computation