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applicant will be supported in conducting quantitative research (e.g. multinational surveys, online experiments, analysis of existing data sets, computational textual analysis, etc) in this area of research
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informal event – you can drop in at any time. Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or
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cavity structure enable a mechanism for the controlled Bose-Einstein condensation at room temperature, with applications in all-optical computing Nature Photonics 13 378 (2019) and quantum sensing Nature
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multiple aspects of work to meet deadlines. You will adapt existing and develop new scientific techniques and experimental methods, as well as contribute ideas for new research projects. You will use
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understanding of the impact of food- and environment-related toxicants on human health. Innovative mass spectrometric methods are developed and applied to investigate exposure, metabolism, and toxicity. The lab
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to develop and improve current simulation methods (quantum and classical) to study such systems. The overarching aim of the post-doctoral position is to develop and apply computational approaches that enable
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modelling to study the causes and consequences of extreme chromosomal instability in these cancers. The role will involve: - Learning and applying cytogenetic methods for generation and analysis of chromosome
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2019 https://doi.org/10.1038/s41596-018-0110-x and Lara et al ., arXiv:2503.21396 https://doi.org/10.48550/arXiv.2503.21396 )). In parallel with your experimental work, you would develop theoretical
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will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical
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and social data with the aim to better understand energy use. The programme is an interdisciplinary collaboration between the School of Geography and the Environment (Oxford), the Department