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evaluating predictive time series models and using R to manage, analyse and visualise data including developing re-usable code in collaborative projects using platforms such as Github is also essential
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and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be
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and timeline. Once operational, you will oversee initial flow characterisation and data analysis, contribute to the implementation of advanced experimental techniques, and support experiments across
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catalytic systems. The postholder will develop and apply advanced simulation techniques, analyse molecular simulation data, and contribute to collaborative research combining computational modelling with
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of data collectors; and working with multi-country teams. Availability and willingness to travel abroad, including to Lebanon, are essential. Further particulars are included in the job description. The
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some but not all of the responsibilities outlined below. Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication
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-emission vehicles, fleets, and associated infrastructure, including data analysis, impact assessment, and tool development. It will also involve interpreting and reporting total cost of ownership (TCO) and
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, stakeholders, and the public to support the development and delivery of the research project. You will be involved in all aspects of the evaluation, including literature reviewing; data collection, analysis and
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partnerships. In doing this, you will excellent communication skills, both written and presentation. Additional information Informal enquiries are welcome and should be made to Jack Sargeant on jack.sargeant
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, atmospheric neutrinos and astrophysical neutrinos. The Lancaster group has significant roles in the development of the simulation software framework, data acquisition and trigger systems, and sensitivity