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with children. Experience working with and communicating effectively to populations with intellectual disability. Proficiency in statistical analysis (SPSS, R, or equivalent). Strong communication skills
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degree, ideally a doctoral degree, in a relevant topic. The post requires strong quantitative skills with expertise in a common statistical package such as Stata/R and the ability to work with large
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R or Stata, are essential. Further particulars are included in the job description. The post is full-time, 1.0 FTE and fixed-term until 30 June 2029. The post is funded by the Economic and Social
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/computational biology/molecular biology/genomics or related area. The successful candidate will have considerable experience in computational bioinformatic analysis (R, Python or equivalent) of omics data and
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particular focus on how vocational education across Europe shapes young people’s civic knowledge, attitudes, and engagement. Advanced data analysis: Applying methods such as IRT, SEM, and MG-CFA, using R
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proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with supervised
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statistics, with experience of analysing complex clinical trials, with proficiency in one or more statistical software packages (e.g. Stata, SAS, R). Be expected both to support externally funded research
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modelling; Strong analytical and programming skills (preferably in R and/or python); Presented research findings both internally and at international meetings; Demonstrated ability to publish research in
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expertise in analysing quantitative datasets (in SPSS and/or R) Evidence of excellent oral and written communication skills Evidence of research productivity, such as writing papers for publication or report
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this role. Please note that applications sent directly to this email address will not be accepted. Closing Date: 29 Oct 2025 Category: Research and Teaching (R&T) Where to apply Website https