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investigating their mechanisms using relevant in vitro and in vivo cancer models. The candidate will be expected to: Determine the effects of the identified VFs using various in vitro and in vivo assays and
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, understanding degradation mechanisms, and improving electrochemical performance. The postdoc will work with state-of-the-art facilities for materials synthesis, structural and electrochemical characterization
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degradation mechanisms, and improving electrochemical performance. The postdoc will work with state-of-the-art facilities for materials synthesis, structural and electrochemical characterization, and in-depth
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of the model will rely on the available experimental characterizations of these interfaces and will focus on plausible solid-electrolyte interphase structures on the extreme surface. The applied computational
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conduct functional assays to validate molecular mechanisms of purified proteins. - Execute structural studies of target proteins using single-particle cryo-EM. - Cryo-EM data analysis - Draft manuscripts
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The Royal Veterinary College, University of London; | Potters Bar, England | United Kingdom | 15 days ago
Interview Date: Friday 26 September 2025 We are looking for a skilled and motivated Post Doctoral Research Associate to join the Structure and Motion Laboratory, a multi-disciplinary research group
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Structure and Motion Laboratory, a multi-disciplinary research group investigating different aspects of animal structure and movement. The post holder will join Professor Richard Bomphrey’s research group
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Associates with expertise and/or interest in high temperature structural materials, additive manufacturing, non-destructive testing, multi-scale modeling and materials characterization. The ideal candidates
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of neutron-rich nuclei, the fission mechanism, the multi-nucleon transfer mechanism among other topics, and the experimental developments associated with the detection setup of the spectrometer. The VAMOS
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have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants are expected to demonstrate research experience in the fields of structural modeling and machine-learning