66 condition-monitoring-machine-learning Postdoctoral positions at University of Oxford in United Kingdom
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experience of programming in Python, or demonstrated ability to rapidly acquire fluent knowledge of new programming languages, libraries, and platforms. Experience of close collaboration with researchers in
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to learn new techniques and apply them in an interdisciplinary research environment. Application Process Applications for this vacancy are to be made online and you will be required to upload a supporting
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-responsive molecular machines. The project is funded by the European Research Council. Find out more about the Langton research group at: here About you Applicants must hold a PhD in Chemistry or a related
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immunogenicity experiments, murine aerosol challenge experiments, administration of vaccines and drugs, monitoring of in vivo, collection and processing of samples, etc. You will be involved in setting up assays
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-operatively as part of a team. Experience of collecting data from, or working with, adolescents and young adults, including individuals with developmental conditions or other special educational needs, and a
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-operatively as part of a team. Experience of collecting data from, or working with, infants or young children, including individuals with developmental conditions or other special educational needs, and a
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transparent windows to separate a liquid/gas environment from the vacuum conditions typically needed (see 10.26434/chemrxiv-2025-0cgp0). This role therefore aims to translate this approach from the synchrotron
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/weather observational and modelling products would be of a substantial value. Furthermore, experience with epidemiological modelling and/or attribution of extreme events and their impacts in a changing
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and molecular mechanisms that act within these sites, and to determine how these events lead to a balanced immune response in different conditions and physical constrains imposed by each organ
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to the smooth running of the wider group. The post-holder will have the opportunity to teach. Applicants should hold, or be very close to obtaining, a doctorate in physics or a related field, and ideally possess