538 postdoc-in-thermal-network-of-the-physical-building Postdoctoral positions in United Kingdom
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for Health and Care Research (NIHR). The aim of this project is to build an instrument, leveraging statistical and machine learning techniques, to allow surgeons to examine the sentinel lymph nodes during
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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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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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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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Nurses Network. Working closely with Dr Marion Waite and her team, you will support the recruitment of participants, as well as multi-site and multi-method data collection in person at specific NHS sites
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Nuffield Department of Clinical Neurosciences (NDCN), MRC Brain Network Dynamics Unit, Mansfield Road, Oxford The post holder will develop computational models of learning processes in cortical
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Nurses Network. Working closely with Dr Marion Waite and her team, you will support the recruitment of participants, as well as multi-site and multi-method data collection in person at specific NHS sites
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the recruitment process. We will make adjustments to support the interview process wherever it is reasonable to do so and, where successful, reasonable adjustments will be made to support people within their role
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Directorate: School of Engineering and Physical Sciences Grade: Grade 7 (£37,174 - £46,735) Contract Type: Full Time (1FTE), Fixed Term (24 Months) Rewards and Benefits: 33 days annual leave, plus 9
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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