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with design partner Studio Bertels to translate your findings into public showcases and policy tools. We are looking for a researcher who is comfortable with advanced data analysis and eager to apply
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frameworks and methods such as 1D-CNNs, transformers, or chemometrics for spectral analysis is highly valued, though applicants with strong backgrounds in physics, physical chemistry, or analytical chemistry
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, Quantitative Genetics, Population or Statistical Genetics). Demonstrated experience in analytical and quantitative skills. Proficiency in programming and data analysis tools (e.g. Python, R, Fortran, Linux
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mouse embryonic stem cells to allow for rapid protein depletion, mapping transcriptional effects (RNA-seq, TT-seq, PRO-seq), proximity labeling approaches, ChIP, and the bioinformatic analysis
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coarse-grained models Have proven experience in designing and performing coarse-grained simulations (preferably using LAMMPS or HOOMD-blue) Demonstrate effective use of advanced analysis tools (e.g., UMAP
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, sediment transport/deposition, landscape change); You enjoy working with large datasets and applying statistical analysis and modelling approaches; You use scripting/programming in your research (e.g. Python
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in empirical research and you have skills in quantitative analysis; You have experience in teaching academic courses; You hold a Basic Teaching Qualification (BKO) or are willing to acquire
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empirical research and you have skills in quantitative analysis; You have experience in teaching academic courses; You hold a Basic Teaching Qualification (BKO) or are willing to acquire this qualification in
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and analysis pipelines are underway. Working closely with the principal investigator and collaborators, you will complete the main analyses, stress-test robustness, and contribute to the writing
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that structural neglect through an interdisciplinary, participatory research program that combines empirical research, legal and policy analysis, and technology assessment. Grounded in a Theory of Change approach