98 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Bristol" positions at Imperial College London
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– this includes Research Software Engineers (RSEs) and technical professionals working in data and computing infrastructure / High Performance Computing (HPC) roles. Led by Imperial College London, the project is
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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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, fellows, and researchers to guarantee the smooth operational delivery of the study. Drive the science: Beyond administration, you will oversee data collection and management systems, contributing
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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