49 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Bristol" positions at University of Liverpool
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(or equivalent) in a relevant subject, be computer literate and in addition have experience of handling a variety of different sample types. The post is available until 28th February 2027. Our
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leadership of senior operational managers and oversight of maintenance performance, budgets and asset data quality. You will bring substantial experience in asset management, estates or building maintenance
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and motivated individual to join the LMG as Archivist, reporting directly to the Collection Information & Development Manager. As Archivist you will catalogue collections, support collection management
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analysing behavioural data, supporting animal welfare monitoring, and contributing to research outputs including reports and publications. You will be based at the Leahurst Campus (Wirral Peninsula) and spend
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proposals and operational appraisals, develop layout drawings, model occupational data and be responsible for the management of devolved project budgets. This is an exciting role for an individual who has
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prediction and estimate kinetic parameters for enzyme-constrained models. By processing proprietary multi-omics data, you will initially focus on determining metabolic vulnerabilities in Zymoseptoria tritici
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incidents accurately using computer systems. During a single shift, you may, for example, support a person reporting a crime on one call and assist a student experiencing difficulties with university life
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records and sensitive information. Liaises with other colleagues and research projects within the Chemistry Department, School, Management Services Team, the wider School of Physical Sciences and
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POSTDOCTORAL RESEARCH ASSOCIATE MODELLING VECTOR (TICK) ECOLOGY AND TICK-BORNE PATHOGEN TRANSMISSION
on delivering high-quality data and mathematical models to inform the response to emerging veterinary parasitic disease threats and the impacts of global change on disease risk worldwide. The research group sits
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contribute to AI/ML methods (e.g., generative design and active learning), robust software and data infrastructure, and prospective demonstrations in collaboration with experimental partners. The role will be