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Field
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Great interest in pre-clinical in vivo models Ideally initial experience with Bioinformatics experience, especially in R What we offer Goal-oriented, individual training and development opportunities
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, RNA biology, and stem cell research Bioinformatics experience, e.g. R, preferred High motivation, curiosity, and the ability to work independently and in a team as well as good communication skills in
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related field experience in the analysis of high-dimensional biological or medical datasets, ideally in the context of omics technologies proficiency in R/Bioconductor for statistical computing and analysis
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and statistical data analysis Excellent written and spoken English skills Experience with TMS and proficiency in relevant software (e.g., MATLAB, R, Python, or SPSS) is an advantage Key responsibilities
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to research this topic. Interest in laboratory work and basic technical understanding. Fluent written and spoken English. Programming skills in e.g. Python, R, Matlab and Java. Experience in image processing
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biology methods (e.g. PCR, NGS, cell culture) and/or functional cell assays Interest in translational leukemia research and innovative omics technologies Bioinformatics experience, e.g. R, preferred We
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profile A completed PhD in psychology, educational measurement, statistics, or a related field Solid knowledge of psychometrics and experience with statistical software (e.g., R) Strong interest in
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participation in the establishment of a junior research group on R&D in this field is explicitly desired, as is intensive co-operation with the Faculty of Physics and Astronomy of the Friedrich Schiller
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functional cell assays Interest in translational leukemia research and innovative imaging and omics technologies Bioinformatics experience, especially in R Ideally initial experience with image analysis, laser
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, Origin, R, Python) Driving licence (class B) is desirable The position will be filled by 1 October 2025 at the earliest. We offer an exciting position with varied activities in an interdisciplinary working