71 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" uni jobs at Imperial College London
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registers Excellent communications skills, both written and verbal, to present and deliver information in an appropriate manner Tact and diplomacy to deal with people in a professional manner Ability to use
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decision-making through data-driven predictive models and digital twinning You will also engage with external collaborators (including IOTA and CSEP), contribute to the mentoring of students and junior
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of stakeholders A methodical, detail focused approach and the discretion to handle sensitive information‑focused approach and the discretion to handle sensitive information Openness to learning new
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, on discussion between the academic and line manager to ensure staff are supported and provided with the best environment to achieve their potential. Full information on duties, responsibilities and criteria
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-level report writing and data analysis Experience developing and writing funding proposals and relationship management Experience of outreach activities and Widening Participation agendas Excellent
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business and improve society through the power of innovative thinking. This is an outward-facing role, grounded in data and driven by the robust global relationships you will build. You will support the
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evaluation, using feedback and data to inform continuous improvement of schemes. You will collaborate closely with colleagues across the Careers Service, including Careers Consultants and the Employer
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Intelligence, data science and biomedical modelling. This post is funded by Glaxo Smith Kline Research and Development Ltd. You will be part of MiMeC, a new collaboration applying mechanistic and data-driven
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, inclusive, and collaborative work culture with various staff networks and resources designed to support your personal and professional wellbeing . Further information can be found in the job description. For
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guidance from the Clinical Trial Managers and Operations Managers. You will oversee the progress and performance of the investigator sites, including efficient recruitment and reliable data collection, and