27 computer-science-programming-languages-"Prof.-Dr"-"Prof.-Dr" 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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? 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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Language Sciences. This role will require previous knowledge of research administration within a higher education environment. A good understanding of University systems and processes is essential. This role
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means for the objective evaluation of purpose in biology. These theoretical efforts are paired with a bespoke experimental programme focusing on cell communication and coordination, which innovatively
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contribute to the university’s research culture. You will have 1) a completed PhD in a Humanities subject, preferably History, Cultural/Literary Studies, or Social Sciences, 2) Expertise relevant to the topic
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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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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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, 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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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