196 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "P" "P" positions at KINGS COLLEGE LONDON
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computer science. The successful candidate will be appointed to the Cybersecurity (CYS) group and will have the opportunity to contribute to cross-cutting hubs (see https://www.kcl.ac.uk/informatics/research
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information: https://www.kcl.ac.uk/slcps About the role We are looking for a skilled biomedical scientist with a strong interest in the human microbiome, clinical test development and have proven relevant
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of these programmes. The successful candidate will be appointed to a research group and will have the opportunity to contribute to cross-cutting hubs (see https://www.kcl.ac.uk/informatics/research/groups ). Research
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supports King’s doctoral community. You will join the MRC Doctoral Training Partnership (DTP) in Biomedical Sciences (https://kcl-mrcdtp.com /), a flagship programme funded by the Medical Research Council
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about the faculty, please see our website: https://www.kcl.ac.uk/sspp . About the role: Primarily affiliated to SSPP’s School of Global Affairs (SGA), the Student Engagement Officer role is a fantastic
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spectroscopy, HPLC, GC, GC/NIMS, GC/EIMS, GC/MS-MS, LC/MS-MS, ICP-OES and ICP-mass spectrometry equipment (see also http://www.kcl.ac.uk/ms-facility ). About the Institute of Pharmaceutical Science From
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. The IoPPN's greatest strength is the interdisciplinary nature of both its research strategy and educational activities, providing unique opportunities for students and staff. Link to IoPPN webpage: http
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to creating social and economic value for both business and society. We offer a wide selection of undergraduate and postgraduate programmes (see https://www.kcl.ac.uk/business), with sustainability at the heart
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commitment needed to ensure the success of these programmes. The successful candidates will be appointed to a research group and will have the opportunity to contribute to cross-cutting hubs (see https
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Assistants with excellent interviewing skills to support the current phase of data collection for a large ongoing longitudinal twin study. The Environmental Risk (E-Risk) Longitudinal Twin Study (see https