328 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"CEA-Saclay" positions at KINGS COLLEGE LONDON
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research organisations and commercial sponsors To ensure internal databases are kept up to date to track trial status and document relevant information. To provide day to day line management of one direct
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and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage
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Information The Faculty of Life Sciences & Medicine (FoLSM) has an exciting opportunity for a Flow Cytometry Technical Manager to join the Faculty Technical Services Team. The post holder will provide
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to capturing, assessing, evaluating and reporting impact through the creation of a Digital Hub and a Social Impact Framework that aligns OKI data with King's broader impact ecosystems. The postholder will
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oral and written communication skills, to convey conceptual and complex ideas and information, alongside good organisational and administrative skills. Ability to lead and function within a team and to
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, providing accurate and timely information, and facilitating effective collaboration to ensure prompt and professional resolution of disputes or misunderstandings. Payment Arrangements: The role involves
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are followed and that deadlines are met. To be the first point of contact for academic and student- support staff, communicating information clearly and precisely and assessing what needs to be passed onto
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, clinical, imaging, and general population data in a multidisciplinary research environment. The postholder will work under the supervision of PI Prof Mitul Mehta (KCL) and Co-I Amir Englund (KCL), and also
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analyse and visualise the resulting patterns to uncover fundamental principles of neural circuit organization and function. This work bridges computational neuroscience, systems biology, and data
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team dedicated to advancing data-driven approaches to historical, linguistic, and cultural research. This post is part of the 5-year project Computational Corpus Annotation for Quantitative Analysis