61 structures-"https:" "https:" "https:" "https:" "https:" "IMT Atlantique" positions at King's College London
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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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Campus in the heart of central London, further details available at https://www.kcl.ac.uk/nms and https://www.kcl.ac.uk/physics About the role Support funding applications and awards management
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information about the faculty, please see our website: https://www.kcl.ac.uk/sspp . About The Role The Senior Student Support Officer will work to develop, oversee and review the provision of support for
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tracking systems. Strong written and verbal communication skills, including producing clear minutes, action logs, and structured documents for diverse stakeholders. Comfort working with multidisciplinary
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the regional contexts of Latin America, East Asia, SE Asia, South Asia, the Middle east and Africa. We explore structural transformation in countries and how that leads to uneven development, with attention
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About us King’s College London is seeking a highly motivated cryo-electron microscopy (cryo-EM) expert to manage its newly established Cryo-EM Structural Discovery Facility. This is an exciting
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to prioritise tasks and excellent attention to detail and accuracy, with strong administrative and record-keeping skills. Experience and ability to administer structured interviews or cognitive/clinical
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., semi -structured interviews and/or focus groups) Experience of quantitative data analyses, e.g., descriptive statistics and data visualisation. Knowledge of sustainability in the context of UK food
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Randall Centre for Cell & Molecular Biophysics , home to a diverse array of structural and cellular biology research, which is part of the School of Basic & Biomedical Sciences . This sits in the Faculty
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1. Familiarity with diffusion models and their training 2. Familiarity with structural dimensionality reduction (e.g., pharmacophore modeling) 3. Familiarity with organometallic