181 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "U.S" positions at KINGS COLLEGE LONDON
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space at the centre of the Strand campus in the heart of central London. For more information: https://www.kcl.ac.uk/engineering The Faculty: The Faculty of Natural, Mathematical & Engineering Sciences
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your application, please take a look at our ‘How we Recruit ’ pages. King’s students and alumni can use King’s Careers & Employability advice and resources for support at https://www.kcl.ac.uk/careers
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Website https://www.timeshighereducation.com/unijobs/listing/401609/research-associate-… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteKINGS COLLEGE
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and codes of practice pertaining to the conduct of clinical trials Able to learn and work to SOPs Strong planning and organisational skills including the ability to prioritise, manage multiple tasks and
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Significant experience of monitoring multi-centre clinical trials in accordance with GCP (including source data verification) Working knowledge of the regulations, guidance and codes of practice pertaining
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codes, assisting with coding changes and restructures and the provision of management accounting information. The role holder will be based at Lavington Street in Central London and is currently
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and code through proactive thinking and vigorous testing, as well as iterative improvement Optimise Moodle performance, accessibility, and front-end behaviours. Engage with open-source development
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budgeting, coding changes, and process improvements About you: We’re looking for someone who combines technical expertise with strong interpersonal skills: Essential Criteria: Part-qualified with a
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mechanics. It is essential that the successful applicant can directly translate mathematical models to code (rather than directly apply FEM software) since the long-term objective is to translate the methods
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, Python or other coding languages. Willingness to work as part of a team and to be open-minded and cooperative. Desirable criteria Background knowledge of neuroscience, biological sciences, or a closely