90 evolution "https:" "https:" "https:" "https:" "VIB" positions at Imperial College London
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Intelligence, data science and biomedical modelling. This post is funded by Glaxo Smith Kline Research and Development Ltd. You will be part of MiMeC, a new collaboration applying mechanistic and data-driven
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to develop a model of health and healthcare provision (see www.tlomodel.org ). The post holder will lead the model analyses that address the three questions outlined above, including, model development, coding
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(ECRI), you will play a vital role in delivering high‑quality learning, development and support activities that empower Imperial’s early career researchers. Working as part of a collaborative and dynamic
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being undertaken in collaboration with UCL, King’s College London and University of Westminster. The project’s aims include dRTP community development, enhancing career pathways and structures and
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, performance management of staff, recruitment and selection, and staff development. Represent and advocate for the Spanish team at internal meetings as required and attend University open days and events
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readiness and adoption of new ways of working. Alongside this, you will provide senior leadership across the Great Environment Transformation Portfolio, overseeing governance, business‑case development
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interdisciplinary environment embedded in the UK Dementia Research Institute at Imperial College London. You will contribute to data access workflows, database and pipeline development, and cross-modal harmonisation
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, Medicine, Natural Sciences, Business Management, Research and Teaching. You will support the development and delivery of project strategies and policies, contributing to continuous improvement in project
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safety and facilities teams to ensure compliance and promote a proactive, positive safety culture. Alongside this, you will oversee the operation, maintenance and development of the Department’s
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optimisation and large language model (LLM)-in-the-loop frameworks, to accelerate decision-making from laboratory screening through to industrial scale. You will contribute to the development of ML-enabled