72 data-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Imperial College London
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, you will handle sensitive information in line with data protection legislation and Imperial policies, while delivering a courteous, flexible, and customer-focused service in line with Imperial’s Values
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technical contractors or vendors in a project support or coordination role Experience of presenting statistical information in a variety of electronic formats as well as in person Hands-on experience
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by the Medical Research Council, that aims to improve the standardisation, modelling, and analysis of prescription data in Parkinson’s disease, with the goal of predicting medication-related side
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will support the generation of high-throughput mass spectrometry (MS) data to power state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) models to build a chemical ‘rule book’ for
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included as an attachment to the job application. Further information can be found in the job description. If you require any further details on the role please contact: Professor Catherine O’Sullivan
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multidisciplinary environment. Ability to use a variety of software to plan, evaluate and present data with clarity and accuracy. The opportunity to continue your career at a world-leading institution and be part of
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and experimental data, the student will develop predictive models of strand displacement reactions in non-ideal settings, in collaboration with the other students within BIOHYBRITE. These areas include
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provided with the best environment to achieve their potential. Full information on duties, responsibilities and criteria for the post can be found in the attached job description. Grow in your career with
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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