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Sensor Network with relevant research skills and experience to work under the supervision of Dr Edmond Nurellari, Associate Professor/ Programme Leader in Electronic Engineering. You will primarily work
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-Time Postdoctoral Researcher in Computer Vision CT image analysis to join the Nuffield Department of Surgical Sciences (John Radcliffe Hospital, Headington, Oxford), working in close collaboration with
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ability in preparing avian and other animal tissues for stable isotope and elemental analyse. Ability to analyse isotopic and elemental data from ecological samples and interpret these data. Good
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should have knowledge of Analyzing and interpreting experimental data and AI in research. You should have the ability to manage your own academic research and associated activities. Informal enquiries may
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including: In-situ, operando and ex-situ techniques (X-ray and neutron, computed X-ray tomography, spectroscopy) Electron microscopy (eg FIB/SEM, EDX and sample preparation) With a background in the field
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for the discipline, and the ability to conduct literature searches in the discipline using appropriate electronic resources is essential to the role. You will also have good relevant IT skills, the ability to plan and
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(REWIRE) to provide leading contributions to power electronic semiconductor devices. The role-holder will provide professional expertise and contribute creative and innovative solutions in device
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project ‘Modelling the Black Death and Social Connectivity in Medieval England’, led by Dr Alex Brown and funded by the Leverhulme Trust. Utilising the latest computer modelling developed in response
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interpretation skills. Providing detailed record keeping for experiments and communicating regularly and effectively with co-workers is required, as is ability both to work independently, with precision and in
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molecular conformations, interactions, and enzyme activity. Applicants should hold (or be near completion of) a PhD in a relevant area of biological or physical science and have the ability to independently