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We are seeking a Postdoctoral Researcher to join our interdisciplinary food system analysis group at the Oxford Martin School. This ambitious project seeks to use large, data-driven integrated
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to a large-scale, interdisciplinary research programme. We are looking for someone with proven expertise in a fast-paced environment, who is committed to delivering high-quality research support and
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are looking for a researcher to drive the preparation and analysis of new and existing large-scale wearable sensor datasets. You will be an integral member of the wearables group based at Oxford, led by Aiden
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processes, including by depolymerization. The research is part of a large-scale, multi-disciplinary hub and, as such, the candidate will benefit from regular conferences, symposia, mentoring and industry
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to prevent and/or mitigate the impact of E. coli and Klebsiella spp. infections, including those associated with antimicrobial resistance (AMR). As part of this post there is an opportunity to analyse large
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of this large-scale project and will have the opportunity to do so in several ways including independently, collaboratively with other members of the group at Oxford and/or with other mathematicians
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expected to conduct research which falls within the remit of this large-scale project and will have the opportunity to do so in several ways including independently, collaboratively with other members
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expected to conduct research in operator algebras and related fields which falls within the remit of this large-scale project and will have the opportunity to do so independently and/or collaboratively with
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/scripting (e.g., in Python, and/or R, and/or Matlab, and/or Bash script & NCO & CDO, etc.) and have demonstrable expertise in the analysis of big data, while the experience with interpretation of climate
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& NCO & CDO, etc.), and have demonstrable expertise in the analysis of big data, and the interpretation of climate/weather observations/reanalyses and model simulations. Additionally, experience with