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across a range of subject areas, including history and global cultures, English language and linguistics, journalism, and philosophy. Together, our unique community of experts are combining different
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development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process
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Strong quantitative background Experience with programming languages (e.g. MATLAB or Python) Experience with statistical software (e.g. R or Stata) Ability to work across broad scientific missions and
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programming languages (e.g., Python, R, Matlab). Demonstrate excellent communication skills for articulating research in presentations and publications. Show a track record of publishing in peer-reviewed
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a permanent resident in Jordan; Be an Early Career Researcher; Not currently in receipt of financial support or funding towards any other programme in the UK from any other sources; Meet the English language
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programming languages such as C#, Python, and C++. Experience with data analysis techniques and AI methods. For informal queries please contact: Dr. Patricia Cornelio - patricia.cornelio@bristol.ac.uk To find
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interdisciplinary collaborations Apply now for this unique opportunity to engage in innovative eye research Investing in you - benefits package including salary packaging, health and wellbeing programs, discounted
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of the short-duration of this post. Main Duties and Responsibilities Perform the following activities with the support of an academic mentor: 1. Complete a programme of writing as outlined in your application
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, UIST, IEEE, SIGGRAPH). Proficiency in programming languages such as C#, Python, and C++. Experience with data analysis techniques and AI methods. Additional information For informal queries please
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interdisciplinary collaborations Apply now for this unique opportunity to engage in innovative eye research Investing in you - benefits package including salary packaging, health and wellbeing programs, discounted