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interactions Expertise with human in vitro co-culture models, including CD8+ T-cell responses, is desirable Expertise in omics and systems immunology Proficiency in R or Python programming for data analysis
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behavior. Programming experience in Python, MATLAB, or similar scientific computing languages. Excellent data management skills Demonstrated scientific/technical writing and publications Excellent
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datasets (e.g., GWAS, RNA-seq) Proficiency in programming languages such as R or Python and experience with bioinformatics tools Strong planning and organising skills Excellent written and verbal
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physical activity promotion. Learn how to apply quantitative and qualitative analytic methods, including opportunities to use GIS, statistical software (R or Python), and emerging analytic approaches
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skills in English Candidates without a master’s degree have until 30.11.2026 to complete the final exam. Desired qualifications: Programming experience, e.g. in Python, particularly for machine learning
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. • Proficiency in software development in R/Python. • Experience with high-dimensional mixed data types or integrative methodologies is desirable. Application Instructions Please submit the following materials
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-series datasets; sound programming skills, with a strong preference for MATLAB; experience in other scientific programming languages (e.g. Python, R) is also valued; familiarity with international
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, computational/analytic skills, and/or proficiency in python, R, and/or MatLab. However, all candidates with a track record of scientific accomplishment and a strong interest in cognitive neuroscience
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, Bioconductor, tidyverse, SingleCellExperiment, or related software. Experience with Python and machine learning approaches is considered an asset. APPLICATION PROCEDURE Applicants should submit: Cover letter
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the master's degree has been awarded Solid background in mathematics and physics is a requirement Experience in scientific programming (e.g., Matlab, Python) is requirement Experience in statistical analysis