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phage display and yeast display is an advantage. Coding abilities in R/Python are an advantage. The candidate will work in a very ambitious interdisciplinary setting, which will require high flexibility
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, neuroscience, medicine, or similar Experience as clinical psychologist and with structured clinical assessments Expertise in statistical analysis using R or similar Experience with big data analysis with high
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techniques for screening plasmid libraries, such as phage display and yeast display is an advantage. Coding abilities in R/Python are an advantage. The candidate will work in a very ambitious interdisciplinary
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(IRT) models in small samples. The ideal candidate has prior knowledge of IRT models, a basic understanding of common estimation methods, and strong programming skills in R, Python, or another relevant
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knowledge of IRT models, a basic understanding of common estimation methods, and strong programming skills in R, Python, or another relevant computing language. Experience with machine learning methods is a
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with methods for causal inference Familiarity with administrative register data or other types of big data Familiarity with Stata, R, or other relevant computing languages Personal skills A collaborative
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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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to work independently and collaboratively in multidisciplinary teams Desired qualifications Crispr Crispr / siRNA screens Proficiency in programming (e.g., Python, R) Experience with high-throughput
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experience with designing experimental studies and analysing quantitative data. Proficiency in either R or Python. Favourable qualifications (not requirements, but give applicants an advantage): Relevant
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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