153 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "inserm" positions at KINGS COLLEGE LONDON
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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
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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
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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
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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
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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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an agreed plan of work, as well as having an ability to work independently and under own direction A passion for change in lived experience and mental health research, and an ability to champion
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be highly organised and have a demonstrable ability to plan, prioritise, and work to deadlines. The successful candidate will have an excellent attention-to-detail skill set and should be flexible
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. Ability to research, manipulate and analyse spend data for interpretation by self and others. Ability to work independently to take ownership of tasks, plan and prioritise workload, ensuring a timely