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stress-strain characterization. Proficiency in analysis software (e.g., Microsoft Excel, R, or other statistical software). Excellent written and verbal communication skills. Ability to work independently
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environments spanning statistical genetics, developmental psychology, clinical psychology, social psychology, and cognitive neuroscience. The department offers a dynamic and inclusive research culture with
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. Knowledge and experience in social science research methodologies. Good statistical knowledge and skills, including familiarity with statistical analysis tools (e.g., SPSS, R, Jamovi and JASP). Familiarity
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pipelines, including data processing, harmonization, and statistical analysis workflows. Data translation: Lead technical data activities across laboratories and omics groups; works with investigators
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discipline* Good knowledge and experience in at least one of the following: cancer biology / cancer immunology / epithelial cell biology / evolutionary biology / genomics / statistics / mathematics or machine
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leadership in the conceptualisation, design, and analysis plans for competitive grant applications. Lead the development of robust study designs, sample size calculations, and statistical methodologies
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analysing both growth increment and soil samples, GIS-work to derive important environmental parameters, and statistical data analyses (like, e.g., bootstrapped correlation and response functions, regression
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. graduates and doctoral candidates nearing graduation who have research interests in applied statistics, machine learning, or computational biology to apply for our postdoctoral fellows program. Located in
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(D^3) Institute and the LISH/Data Science & AI Operations Lab seek enthusiastic Postdoctoral Fellows skilled in computer science, statistics, operations research, or related computational fields. As
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analytical techniques and their application to clinical problems. We expect the applicant to have some experience in statistical data analysis and to be a highly-motivated, precise-working person with