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relevant to your expertise. You will have a publications record appropriate to your career stage, which includes evidence of the ability to produce high-quality academic writing, and the potential to publish
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and petrographic studies on mafic volcanoes. Lab-based analysis of pyroclast textures will be performed (e.g., shape, density, bubble and microlite number density) and these data will be used in models
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including WinForms, Webforms and API development. Angular / Typescript SQL Server development and optimisation Development of high availability, high throughput, business critical systems as part of a
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Managing competing priorities with sound judgement and a high degree of attention to detail You must demonstrate the ability to influence and negotiate across a complex organisational landscape. The role
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: 0493-25 We are seeking a Research Associate to join Lancaster Medical School and work on the “FeetSee” project funded through a project grant from the Next Generation EU Programme: Implementation
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: 1435-24-R We invite applications for a Post-Doctoral Research Associate position to join the Statistical Foundations for Detecting Anomalous Structure in Stream Settings (DASS) Programme. The DASS
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programme of scholarship and / or research. The successful applicant will be expected to have completed their PhD, or be within an anticipated 12 months of award. The successful candidate will be required
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scholarship at both institutional and School level. Colleagues are supported through a structured staff development programme. We are committed to promoting Equality, Diversity and Inclusion, and supporting
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academic administration relating to education and pedagogy, and actively contribute to curriculum transformation in the Department. ABOUT YOU: will make a strong contribution to our high-quality teaching
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identify priorities for future model development. Forward simulations will also be performed under two possible storylines; a) high sea ice loss in combination with a weak strengthening of the stratospheric