52 designer-"https:"-"https:"-"https:"-"https:"-"https:" positions at Lancaster University
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has been designed to help students integrate learning from clinical placements through structured, facilitated clinical debriefing. It will enable students to understand patient journeys across primary
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across both faculties. The role is designed to support the PVC HMST and HoD/Ss in managing the people and staffing portfolio as well as overseeing physical resources, to include sustainability, equipment
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with the design, delivery and ongoing improvement of lab-based modules on our undergraduate and postgraduate programmes. This is a full-time position for a one year fixed period and offers
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for monitoring ecosystems and guiding conservation decisions through changes in animal behaviour. You will work closely with the PI (Dr Sally Keith) and interdisciplinary team to design field experiments and
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design, build & implementation of project tools and systems, including the team’s intranet, PPM tools, Jira and capacity planning tools. Looking at innovations to improve practices and processes
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teams. Recruit, induct, and manage a diverse group of specialist staff. Operationalise the Access and Participation Plan (APP) by translating high-level targets into measurable deliverables. Service
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the ability to plan and manage time and conflicting priorities. A high attention to detail, good written English and experience of some data analysis will be key to providing support across all
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within the Professional Services and Operations teams, providing high-level support to Heads of Division and Senior Teams. This position is based at the Health Innovation One building (LMS) offering
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Moss to: Develop machine learning emulators for the WAVI ice-sheet model to serve as efficient surrogates for large-scale Bayesian inference. Develop utility-function-based experimental design methods
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utility-function-based experimental design methods to identify the computer simulations and observational surveys that maximise information about future sea level for a given computational cost. Work