330 data-"https:"-"https:"-"https:"-"https:"-"Inserm" positions at KINGS COLLEGE LONDON
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
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
-
, providing accurate and timely information, and facilitating effective collaboration to ensure prompt and professional resolution of disputes or misunderstandings. Payment Arrangements: The role involves
-
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
-
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
-
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
-
, 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
-
databases , external portals and information retrieval from the internet. High level of numeracy, double entry and accounting principles Excellent communication and organisational skills with ability to lead
-
quantitative information, in a clear and actionable way Develop and maintain expertise in research and evaluation methodologies Work with academics and practitioners to test and trial new approaches to widening
-
Facility. The successful candidate will have in-depth knowledge and hands-on experience in genomics, including sample preparation, instrument operation for sample handling and automated data acquisition. In
-
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