16 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral research jobs at King's College London
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(https://doi.org/10.1242/jcs.180703) and Prof. Philippa Francis-West (Mao et al. Nature Comms. 2016 (https://doi: 10.1038/ncomms11469 and Prof. Philippa Francis-West (Mao et al. Nature Comms. 2016 (https
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About us A post-doctoral research associate position is available at the Photonics & Nanotechnology group, Physics Department, King’s College London, funded by the EPSRC Programme Grant Next
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’ Hospital in central London in the School of Biomedical Engineering & Imaging Sciences at King’s College London: https://www.kcl.ac.uk/bmeis . There is an unmatched infrastructure in place to support the
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wireless communications for three decades. For further information, please see here: https://www.kcl.ac.uk/research/ctr About the role: 5G networks are a key enabler for the economy and society’s growing
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including grade 7. Visit the [Centre for Research Staff Development](https: //www.kcl.ac.uk/research/research-environment/professional-development/centre-for-research-staff-development) for more
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; physiology and women's health. We also have thriving research programmes in global health, and health and social care. Further information about the Faculty of Life Sciences and Medicine may be found at https
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aim is to identify key mechanisms and pathways underlying inflammation and cancer and to create opportunities for novel treatments for human disease. CIBCI’s interdisciplinary programme brings together
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Mental Health Younger Generations Programme. You will work with a friendly, supportive, passionate, and hard-working group to undertake statistical analysis of quantitative data to test hypothesis
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, quantitative social sciences, or a related discipline. Experience in developing models and mapping with real world data, with strong programming proficiency in R or Python and version control systems like Git
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using real-world data, with strong programming proficiency in R or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas