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Science, Data Science, or a related field Experience in viticulture/agronomy and field trial work Strong data analysis skills using Python and R Proven ability to work with complex datasets and modelling
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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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-dimensional data analysis. Proficiency in R or Python; experience with deep learning, causal inference, or genetic data analysis is not required but encouraged. Excellent written and verbal communication skills
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, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta-analyses. The role also includes weekly clinics, trial support, and active contribution to academic
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to the Sustainable Built Environment (SBE). The SBE team focuses on building energy modelling and simulation, decarbonization strategies for the built environment and R&D of green building technologies such as HVAC
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Clinical Research Fellow. You will work closely with the Epidemiology Large Data Review Group, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 28 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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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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, 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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. 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