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Field
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/intermediate programming skills in R and/or python Ability to adapt to the research environments while being full members of two labs Desirable skills statistical analysis basic processing of NGS data experience
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from the doctoral-level education they will receive. Experience in the R programming language (or alike), statistical inference and the use of machine learning methods is a merit for the position. How
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of Reference for Languages (CEFR) Technical equipment and programmes Much of the programme coursework requires the use of statistical programmes. Most students will use R software, although some students will
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in English, both written and spoken, with the ability to communicate complex ideas clearly; - who has experience with statistical programming (e.g., Stata, R); - who is motivated to study policy
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. Proficiency in English, both written and spoken, with the ability to communicate complex ideas clearly. Experience with statistical programming (e.g., Stata, R). Ability to work collaboratively in a
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be considered if combined with advanced coursework in cell and molecular biology and genetics. Experience working in a Unix/Linux environment, as well as documented experience in R or Python, is
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, criminology, statistics, or data science experience in managing and analysing large relational datasets in R, SPSS, Stata or similar software strong quantitative skills excellent communication skills, both
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criteria for the position. Preferred selection criteria Familiar with SPSS, STATA, R, or Python for quantitative analysis Knowledge of NVivo or Atlas.ti for qualitative data analysis Personal characteristics
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, sociological...) to measuring beliefs, attitudes, and their relationship with shaping (online) behavior is desirable. Familiarity with data analysis in R or Python is required. Experience in study handling
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tools for end-to-end processing of next-generation sequencing data, from raw data to variant discovery (e.g., GATK pipeline). Experience with programming languages (e.g. bash, Python, and R). Experience