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-reviewed media Experience with grant applications on international and national levels High quality in your own teaching and supervision experience Coding skills (SPSS, JASP, R) Very good English and German
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managing and working with complex, high-dimensional datasets, ideally in the life sciences, and should be comfortable using open-source data management and analysis tools (e.g., R, Python, SQL, or similar
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skills: excellent knowledge of French; Technical skills: knowledge of linguistic theories; experience with empirical methods, in particular statistics (R); Teaching skills; Interest in third mission
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delivery of RNA or DNA to cultured cells, CRISPR-Cas genome editing. Some knowledge of a programming language such as R or Python would be valuable. Applicants will work under the practical supervision of a
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organisational and time management skills, including ability to prioritise workload and work to deadlines. Desirable criteria Coding skills and experience in one or more open-source languages (e.g. Python, R
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publications in high impact journals, advanced proficiency in R and Python, and prior experience in cardiac imaging and high-dimensional data integration are essential. The postholder will be expected to work
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, reasonable adjustments will be made to support people within their role. Contact Information Department contact for academic-related enquiries Enquiries about the role should be sent to Professor Jan R. R
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demonstrated ability to apply and combine methodologies across MATLAB, Python, and/or R. Highly motivated and enthusiastic researcher with a strong and documented interdisciplinary interest in mental health
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administering standardised or experimental assessments. Competence in data analysis and databased management, including techniques relevant to longitudinal studies (e.g. mixed models, SEM, in R, Stata, MPlus
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assessments. Competence in data analysis and databased management, including techniques relevant to longitudinal studies (e.g. mixed models, SEM, in R, Stata, MPlus, or other suitable programme) Proven ability