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. Building on its strong foundation in Optics and Photonics, EECS is expanding its research into quantum algorithms and their industrial applications. These new initiatives will be integrated into a state-wide
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with implementing these algorithms on fully error-corrected fault-tolerant quantum computers. About You The incumbent is expected to have relevant experience in developing quantum architectures, error
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to contemporary challenges while mentoring the next generation of leaders. Building on its strong foundation in Optics and Photonics, EECS is expanding its research into quantum algorithms and their industrial
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evolution of animal, plant, fungal and microbial life. We have research strengths in plant biology, spanning from crops to natural ecosystems, (ii) evolutionary biology and functional ecology, (iii) membrane
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the appointment, and will have experience in asymptotic, algorithmic or probabilistic combinatorics, or a closely-related area. Applicants should also be active researchers with good written and oral
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Computational genomics Ecological genomics Evolutionary genomics Functional genomics Metagenomics Population genomics Successful candidates will demonstrate the potential to secure external funding and build a
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Behavioural ecology Community ecology Ecological genomics Ecosystem ecology Eco-physiology Evolutionary ecology Functional ecology Macroecology Microbial ecology Plant-pollinator interactions Population ecology
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Project (Next-Generation Solvers for Complex Microwave Engineering Problems). This project aims to design and develop physics-guided, data-driven algorithms that can accurately solve complex microwave
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original research in asymptotic, algorithmic and/or probabilistic combinatorics, with particular focus on hypergraphs. Collaborate on research problems with the project team (Prof. Greenhill, Dr Isaev, A
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subdiscipline of Ecology, including but not limited to: Climate change biology Conservation ecology Behavioural ecology Community ecology Ecological genomics Ecosystem ecology Eco-physiology Evolutionary ecology