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switching. Physical connectivity, fibre, structure cabling, VLANs, BGP and OSPF Specific skills & knowledge of telephony and modern enterprise-voice/SIP systems. SBC’s, MS Teams, direct routing and call
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cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI, and interdisciplinary research team, RE will develop and implement deep learning algorithms to analyze trap
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Description A key component of this work is an interdisciplinary programme of applied, mixed-methods health services research exploring how health and social care services for people with musculoskeletal
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Job Purpose To make a leading contribution to the BIOGRAPH – Biophysical Tumour Growth Modelling for Novel GBM Treatment Response Assessment: Harnessing Physics-Informed Deep Learning project
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A PhD (or equivalent research work experience) in a quantitative discipline related to the research programme e.g. health economics, labour economics, simulation or systems modelling, data science on
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general administrative support to the wider Registry team. Further details about the Registry can be found on our website: https://www.lshtm.ac.uk/study/studentservices/registry-services You should be
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: Delivering Sustainable Futures for All, the DfE sectoral plans for achieving low carbon/net zero (Skills and Workforce Development) and the Programme for Government 2024-2027 – Grow a Globally Competitive and
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For further reading see e.g., De Pontieu, Erdelyi and James, Nature 430, pages 536–539 (2004) https://www.nature.com/articles/nature02749 Dey et al., Nature Physics, 18, pages 595-600 (2022) https
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: 10-May-2026, 11:59:00 PM Disclosure and Barring Service Requirement: Please note that the successful applicant will require DBS disclosure. Further info: https://bit.ly/3DP5K8y This post is for
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eligible to be sponsored under the Skilled Worker visa route if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: https://www.gov.uk/skilled-worker-visa As