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quantitative research skills Familiarity with the statistical programming language R Fluent oral and written communication skills in English The following qualifications are not required but will give applicants
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for this position. Applicants should be proficient in R, Python, or equivalent statistical software. Some background knowledge in either (computational) Bayesian methods, or statistical learning for molecular data
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, biostatistics or similar Experience with handling of large-scale human genotype and registry data (quality control and analysis) Skills in programming and scripting languages (Python/R/Matlab) Fluent oral and
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data Familiarity with Stata, R, or other relevant computing languages Personal skills A collaborative, friendly, and team-oriented style of work Ability to join interdisciplinary academic communities
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experience with statistical analysis and programming (Bash, R, MATLAB, Python or similar) is required. Excellent communication and collaborative skills (team player) is required. Excellent English scientific
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qualifications Crispr Crispr / siRNA screens Proficiency in programming (e.g., Python, R) Experience with high-throughput sequencing data analysis (e.g., CAGE, ATAC-seq, ChIP-seq, or Hi-C) Familiarity with
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programming (R, Python, or similar) is an advantage. Interest in acquiring the necessary statistical analysis and programming skills is required. Previous experience with experimental research is an advantage
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techniques and relevant programming languages, such as Python or R, for data processing and analysis Fluent oral and written communication skills in English and preferably a Scandinavian language Desired
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, preferably with Stata or R. Capacity to develop and apply innovative research methods. Strong communication skills in English (written and oral). Colourbox via Unsplash Colourbox Personal skills Ability