68 virtualization "https:" "https:" "https:" "UCL" positions at Lancaster University in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
': https://wellcome.org/research-funding/funding-portfolio/funded-grants/control-without-closure-school-level-approaches The contact study aims to improve our understanding of how and where school pupils
-
innovative educational programmes to promote sustainable work and organisational health and well-being. See https://www.lancaster.ac.uk/health-and-medicine/research/cohwb/ The Faculty provides an environment
-
degree courses you have studied including marks awarded; • your current fee status (UK or non-UK), • information on where you found out about the STOR-i programme For further details about closing dates
-
leadership role supports Professional Services and other non-Faculty areas, providing strategic financial insight, robust analysis, and evidence-based advice to senior stakeholders. About the Role You will
-
Programme) Line Management: Education Services Administration Assistant Contract: Time-limited (Curriculum Transformation Programme) About the Role We are seeking an experienced and organised administrator
-
Programme) Contract: Time-limited (Curriculum Transformation Programme) About the Role We are seeking an organised and detail-focused administrator to support the implementation of Lancaster University’s
-
2020 according to the Sunday Times Good University Guide. LEC forms one of the largest and most prestigious groupings of environmental researchers in Europe and is the largest department
-
this position will help you achieve those goals. Please also describe the skills you have developed that are relevant to this post and tell us about any skills you want to develop further. CV: Please include
-
, teaching and engagement. Lancaster is consistently ranked in the top universities in all three major UK league tables and continues to build a growing reputation both nationally and internationally. About
-
] The Project Modern machine learning can predict vocal tract shapes from audio recordings of the voice with remarkable accuracy, but most of these models are black boxes. This Royal Society-funded project aims