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Field
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skills and attention to detail Commitment to the aims of the NIoT Desirable Criteria Proven interest and/or experience in teacher training and professional development Experience of using R programming
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experience Knowledge of a range of research techniques and methodologies Advanced and specialist IT knowledge in R, SPSS or other specialist software for statistical analysis Highly developed communication
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to Work in the UK who are not eligible for Skilled Worker sponsorship or another Global Talent visa route, may wish to look into the Global Talent Peer Review r oute. This is a self-application process and
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, and how to use them. Evidence of driving innovative science, including publication in high quality scientific journals. Knowledge of programming tools/languages, such as R/Python. Solid understanding
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Advanced knowledge of how to build research capacity in LMIC settings Evidence of application of statistical analysis and machine learning methods in R Knowledge of current trends, research methods, and best
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belief, sex, sexual orientation and socio-economic background. Please quote reference: 652-25-R Closing date: 06 April 2025 Interview date: TBC
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experience working with complex datasets, missing information and data quality issues. Programming skills in R, Python or other open-source programming language are required. Further particulars are included
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such as SPSS, R, or similar tools Strong project management skills and the ability to work independently and as part of a multidisciplinary team A solid understanding of mental health challenges in high
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, including Word, PowerPoint and reference management software (e.g. EndNote) Experience of the following is useful: Statistical / modelling software, (STATA, R, winbugs) Health economic evaluation & decision
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modelling software R and Excel for data analysis, visualisation, and/or modelling (assessed at: application & interview). Capable of contributing to the design, development and writing of research and