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, genes, and pathways involved in sensing water in the model plant Arabidopsis. Building on our previous work (Mehra et al., Science, 2022), we aim to understand how hormone-driven pathways help roots
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using cancer models, molecular data analysis, and preparation of scientific publications and funding proposals. You’ll also contribute to collaborative projects and help with lab management and training
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degree in computer science or a cognate discipline, and have completed a PhD on AI/ML, ideally with a focus on safety or security of ML models. Experience of carrying out both independent and collaborative
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analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute to developing new ones. Fundamental knowledge concerning
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development of mouse models, although this is not requisite. They will be expected to have excellent skills in molecular biology and experience in CRISPR/Cas9 genome editing. Furthermore, they will be expected
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to achieve a higher degree during the fellowship (e.g. PhD) and will need to have excellent academic and organizational skills, ideally with previous experience of data analysis and/or genetics. About the
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Professor) E.Konstantinidis@warwick.ac.uk We will consider applications for employment on a part-time or other flexible working basis, even where a position is advertised as full-time, unless
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well as their relationships with China in the East and Europe in the West. The research project can be situated in any discipline or interdisciplinary position and can address any aspect of the movement of materials, knowledge
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a role model and fostering an inclusive working culture. Person Specification First degree in Chemistry, Materials Science, Physics, Chemical Engineering or cognate discipline PhD in Nuclear Magnetic
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Applications are invited for a Research Associate/Fellow position to work on an ERC funded project ‘WATER-BLIND’ which seeks to uncover how roots sense water stress. Building on our recent