253 coding-"https:"-"FEMTO-ST"-"UNIVERSITY-OF-BUCHAREST" "https:" "https:" "https:" "https:" "https:" positions in United Kingdom
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Field
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systems. Demonstrable ability to write code in R and/or Python in such a way that data analysis can be streamlined is essential as is the ability to apply fundamental data science techniques. Experience
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in line with the University’s Strategic Plan - Inspiring People – Changing the World. http://www.gla.ac.uk/about/strategy/people/ Knowledge, Qualifications, Skills and Experience Knowledge
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Arrangements: 9-5pm Closing Date : 04-Mar-2026, 11:59:00 PM Disclosure and Barring Service Requirement: Please note that the successful applicant will require DBS disclosure. Further info: https://bit.ly/3DP5K8y
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the appropriate studentship deadline. To access the application form and application guide please visit our website at https://www.ox.ac.uk/admissions/graduate/application-guide For Informal enquiries please
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field, e.g., neuroscience, neurology, data processing/analysis. Key skills: proficiency and experience in coding relevant to data wrangling/processing (e.g., python, R, MATLAB); experience with command
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compliance with standards such as the UUK Code of Practice, and ensuring our residences remain a positive and vibrant place to live and learn. This is a campus-based role. Experience of maintaining inventory
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appropriate to the discipline, through open data, open code, open educational resources, and practices that support reproducibility. C8. Excellent interpersonal skills, including team working and a collegiate
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to deliver quality outputs in a timely and efficient manner. C6. Ability to demonstrate a degree of independence C7. Commitment to open research, as appropriate to the discipline, through open data, open code
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to demonstrate a degree of independence C7. Commitment to open research, as appropriate to the discipline, through open data, open code, open educational resources, and practices that support replication. C8
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& analysis of experiments & drafting of papers. C3 Commitment to open research, as appropriate to the discipline, through open data, open code, open educational resources, and practices that support