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Field
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. Requirements: PhD degree in statistics or a related field from a reputable university. Solid knowledge in hypothesis testing and high-dimensional analysis. Strong proficiency in the R programming language
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 29 days ago
programming languages such as R or Python for data analysis is beneficial Expertise in RNA biology, neurophysiology, or neuroimmunology will be considered a strong advantage Excellent communication skills in
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the scope of the R&D project Academy for Patient Associations Capacity Building (ACAD), 95108202, funded by Roche, under the following conditions: Scientific area: Communication Sciences Requirements
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closely with the Epidemiology Large Data Review Group, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta-analyses. The role also includes weekly
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surveys; · Programming/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); · One or more computational environments for statistical analysis (e.g., MATLAB, R
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, math, statistics, and/or computer science Experience with programming, data science, and geospatial analysis (especially R, Stata, Julia, MATLAB, or Python) An enthusiasm for empirical research and an
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, and programming in R is considered an asset; A flexible attitude towards working hours, for example in relation to fishing meetings or research trips. You are willing to spend several weeks per year
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for the role. Applications close Sunday 30 November 2025 at 11:00pm AEST (R-56130). Please note that interviews have been tentatively scheduled for early December.
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alongside trials of health interventions, using STATA and/or R software. Demonstrated experience in modelling long-term health outcomes and costs of public health interventions. Oversee and ensure the quality
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References Academic work and R&D projects, as well as a list of these Any other relevant documentation The applicant is fully responsible for submitting complete digital documentation before the closing date