15 programming-"the"-"DAAD"-"IMPRS-ML"-"PDI-Service"-"FEMTO-ST"-"https:" positions at University of Reading
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: Head of Meal Plan Management Contact Email address: k.gray@reading.ac.uk We welcome applications from both external and internal candidates. As part of the University’s ongoing commitment to professional
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about this on the UK Visas and Immigration Website . We are looking for an enthusiastic and experienced administrator to join the team that is running the PhD training programme in Mathematics for our
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? If so, we invite you to apply to lead the national communications for the DfE-fundedClimate Ambassadors programme, a transformative initiative helping schools, colleges, and nurseries across England take
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discuss visa routes with candidates who are invited to interview. This is an exciting time to join the University of Reading as we embark on a Professional Services Programme that will fundamentally change
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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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subject by the start date of the appointment Good programming skills (r, Fortran, Python) Familiarity with eco-evolutionary optimality approaches to modelling vegetation Experience with working with large
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and PG students in EU Law; The ability to provide excellent supervision to PhD students; Experience of academic leadership and wider contributions to academic life; A well developed 5 year research plan
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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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-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