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. Expertise in some of the following areas is expected: Expertise in quantum information processing, quantum optics, or related fields. Strong experimental skills and solid theoretical understanding of quantum
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integration into the research environment and relevant academic and industrial networks. In addition to your contributions within resilience, you may also engage in and link with our broader research agenda
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predictive framework linking genomic data to extinction risk, working at the interface of evolutionary genomics, simulation modelling, and machine learning. By integrating forward-in-time simulations, real
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adjustment and plate tectonics. The analysis will encompass both network wide and local analysis using data from Greenland GNSS Network (GNET). You will target specific regions where there can be an unresolved
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interest in information processing in humans and computers, and a particular focus on the signals they exchange, and the opportunities these signals offer for modelling and engineering of cognitive systems
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tools and data platform become increasingly central to scientific research and its impact, this role plays a key part in ensuring those tools are professional, robust, and widely usable. You’ll help
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create multi-fidelity predictive models that integrate data from quantum simulations and experiments, using techniques such as equivariant graph neural networks with tensor embeddings. We aim to train
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Job Description If you are passionate about advancing the frontiers of process mining and data-driven intelligence, and you want to build your career in one of the fastest-growing research areas