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and studies and bring their research expertise to the Department. The appointee will contribute to the delivery of the audiovisual practice strands of the programmes and to some media studies/media
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record of recent professional work in the audiovisual sectors. They will be expected to make a strong contribution to teaching audiovisual production practice in the Department and undertake teaching
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will manage recruitment competitions in line with university policies and processes, delivering a high-quality recruitment service, and promoting best practice. They will work closely with the university
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order to automate and improve data sharing across an Enterprise we can use Artificial Intelligence (AI), Data Science and Process Mining techniques. Related advancements will lead to an environment where
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prioritize sites for ancient woodland restoration. The successful candidate will work with the Task 4 lead, Dr Helen Shaw, to use palaeoecological approaches (pollen, spores and a range of other proxies
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to do the same for inscriptions in the Insular Latin script (primarily found on cross-slabs), but to take the next, crucial step in using all of this newly generated, interdisciplinary data, along with
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candidates will have the ability to work well in a team environment but will also have demonstrated their ability to use their own initiative. The candidates will demonstrate a strong awareness of
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to do the same for inscriptions in the Insular Latin script (primarily found on cross-slabs), but to take the next, crucial step in using all of this newly generated, interdisciplinary data, along with
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summarising teaching experience and approach – max 2 pages. PLEASE NOTE: Candidates who do not submit this additional information may not be considered for shortlisting. Candidates should note that the
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without the use of animal experiments. This position will involve the design of novel experiments, analysis, scientific writing, and dissemination (publications, talks and posters). The Research Assistant