76 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:"-"https:" positions at KINGS COLLEGE LONDON
Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
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
-
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
-
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
-
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
-
next. Reporting to the Senior Careers Consultant (Undergraduate), you will design, deliver and manage the core careers programme—workshops, webinars and supporting materials—and provide high-quality
-
both King’s Genomics and the GLAD Mental Health Goals programme. This is an exciting opportunity to contribute to cutting-edge genomics and biomarker research through large scale sample collection
-
research programme takes a mixed methods approach. The successful applicant will have a key role in the qualitative work package which aims to understand multi-stakeholder perspectives of the C(E)TR process
-
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
-
, 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
-
-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