90 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "U.S" positions at KINGS COLLEGE LONDON
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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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to plan and coordinate multiple activities, including training sessions, community engagement events, audits, and reporting, ensuring all deadlines and priorities are met effectively. Facilitation and
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-oriented programming principles and Moodle’s backend structure. Comfortable working with Database Structure (e.g. MySQL) Experience using distributed version control systems such as GIT Understanding
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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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, 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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for accuracy. Excellent IT Skills, including with the Microsoft Office Suite. Excellent administrative skills, including the ability to organise and plan effectively. Good oral and written communication skills
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to strategic priorities and the ability to perceive issues strategically in terms of the ‘bigger picture’, make informed decisions and plan accordingly Demonstrable track record of successfully managing
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. Strong communication and interpersonal skills, with the ability to work collaboratively within multidisciplinary dental/healthcare teams and with external partners. Ability to plan, deliver and evaluate
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conference presentations and journal papers; Excellent mathematical and programming skills in Python or C++, and practical experience with deep learning libraries (e.g., PyTorch) Desirable criteria Research