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This maternity leave cover post is an excellent opportunity for an experienced qualitative researcher with interest in primary care and health services research to work on a large, pragmatic cluster
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environment, of engineering AI solutions to problems (especially neural networks or large language models) and/or applying data science techniques (such as Bayesian or similar statistical modelling). You should
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present network performance data based on your specialist knowledge. This role requires deep expertise in large-scale WAN networks, particularly those leveraging SD-WAN technologies, to meet the strategic
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high-performance computer cluster is available at Bristol can be used to run large and parallel models. You will have full access to these facilities. You should have a relevant postgraduate research
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emulators. All work is theoretical/computer based and no real-world deployment of SRM techniques is included. Focus will be on understanding climate thresholds that may lead to large-scale dieback
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will be required to support both paper based and computer based examination processes. Adhering to the Universities policies and procedures (training will be given). Providing clear instructions to large
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are mitigated. Instigate or oversee incident investigations by contractors as well as analyse and interpret accident performance and other health and safety data Develop and implement KPI’s and the reporting
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this Present research findings at national and international conferences Undertake data cleaning and data analysis of complex and large datasets Develop national and international collaborations as appropriate
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This 36-month Senior Research Associate (SRA) position will join a large team of investigators working on the UKRI NERC-funded Large Grant ‘Ex-X’ Expecting the Unexpected. Understanding ‘dangerous
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lead on large-scale restructuring and organisational change initiatives. One role is full time (35 hrs pw) until 31st July 2026 but we will consider applications from those willing to work at least