132 postdoc-in-thermal-network-of-the-physical-building Postdoctoral positions at University of Oxford in United Kingdom
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at conferences, and represent the research group at meetings. You will be able to work in an effective, positive and respectful manner with other group members (DPhil students; postdocs) and collaborators. In
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career development of our postdocs and research staff. To help them thrive and achieve their ambitions, we have created a comprehensive range of opportunities and initiatives designed to provide
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within this framework, building networks with national and international museum professionals, publishing articles, and will participate in ongoing research and public engagement projects. You must possess
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at the plasma membrane. The lab undertakes a multidisciplinary approach spanning biochemistry/biophysics, cell biology and structural biology to address our research questions. In this role you will build on our
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of the research group, including postdocs, research assistants, technicians, PhD and project students, as well as to represent the PI and ISML when required. You will hold a Masters or PhD degree (or be close to
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cryo-EM, cryo-ET, FIB milling, and biochemical methods to understand mechanisms of dynein-2 transport, building on recent advances in the group (NSMB 2017 PMID 28394326; NSMB 2019 PMID: 31451806; Cell
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and Shock Mechanics Laboratory. You will be asked to provide guidance to less experienced members of the research group, including postdocs, research assistants, technicians, PhD and project students
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it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid crystal resins. Additionally, you will develop
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with governance needs, supporting regulatory frameworks and building stakeholder trust in AI systems. The role offers flexibility to pursue diverse research directions within the AI Governance
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settings. We are seeking a highly motivated postdoc to conduct research into this fast-moving area. Directions may include investigating quality evaluation methods for multi-agent systems, attack surfaces