14 programming-language-"St"-"University-of-St"-"FEMTO-ST"-"St" positions at University of Reading
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. The Department also delivers optional language modules that are taken by students and staff across the University via the Languages for All Programme. In addition to language modules and language-specific cultural
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your academic experience. Relevant language skills are desirable, but not a requirement for the post. Preference may be given to candidates who have experience of working with national and international
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candidates who are invited to interview. We are looking for a candidate to join the new Agrifood Futures team and play a key role in supporting the implementation of this exciting programme of work. This role
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to plan and deliver some student training and stakeholder engagement activities, taking the lead on some events. You will: • Be highly organised with the ability to initiate work, balance competing
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, as well as a range of external stakeholders Experience of managing projects in a research setting The ability to work as part of a team to progress a programme of work Good communication skills
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click Apply for a Programme via the above ‘Apply’ button, create your account, and use the link sent by email to start the application process. Please select ‘PhD in Physiology and Pharmacology (initial
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cytometry. Our experimental programme is designed to interface and synergise with simultaneous theoretical developments of computational models and novel methods for analysing system purposes
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colleagues and other Professional Services teams. Our Alumni and Supporter Communications Officers work to strengthen a lifelong connection with the University for our graduates through a programme of targeted
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-evolutionary optimality concepts and modelling Good programming skills Familiarity with relevant data sources for model evaluation Previous research experience and publication record The ability to use own
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Practical experience in using site and global data sets for model evaluation Good programming skills Familiarity with relevant data sources for model evaluation Previous research experience and publication