254 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" positions at KINGS COLLEGE LONDON
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and disease and apply this knowledge to the development of new and innovative clinical practise, alongside providing a rigorous academic programme for students. About the role Dr Seaborne’s group
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. Working closely with the Lead Investigators, the post holder will ensure the successful conduct and completion of the research programme. They will contribute to the collection and analysis of data and play
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geography/remote sensing, ecology, statistics, engineering, quantitative social sciences, or a related discipline. Experience in developing models and mapping with real world data, with strong programming
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, data science, 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
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-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). Proven
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skill Ability to communicate complicated and specialist information orally and in writing to team members and programme participants Ability to work with others in a team to deliver project aims and
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candidate will have an international reputation in their field and have an established research programme, a track record of publications, grant income and research impact, and potential for significant
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King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. About the role We are looking
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solving problems, creating a healthier, smarter, more equal and sustainable future. This role will increase awareness of, and participation in, entrepreneurial activities, through a programme of engagement
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white ethnic minorities). We are recruiting a highly motivated professional to support the delivery of the large-scale Genetic Links to Anxiety and Depression Mental Health Goals programme (GLAD MHG) and