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analysis (especially R, Stata, Julia, MATLAB, or Python) An enthusiasm for empirical research and an interest in pursuing a PhD in economics or related fields (e.g., public policy) An ability to work
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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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mathematics, and finite element analysis. Programming experience in coding e.g. Python, or MATLAB Writing skills for research papers. Experience in applied machine learning, fault diagnosis, laboratory testing
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placing the results in a relevant clinical context that you have good programming skills in Python (PyTorch/TensorFlow) and are proficient in programming in Linux/shell that you are familiar with common
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positively to a diverse academic community. DESIRED CHARACTERISTICS Proficiency in at least one programming language (e.g., Python, C#, or Ruby) and platforms commonly used in digital forensics and backend
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | about 6 hours 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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but not required: expertise in bioinformatics for scRNA-seq data analysis (e.g., Seurat, Cell Ranger, R/Python). Send a letter of interest, current curriculum vitae, and names and contact information
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, computer science, economics, or a related quantitative field Strong skills in R and/or Python and experience analyzing complex data Clear scientific writing and communication; a track record of publications
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Python through the Google Collaboratory platform, since this requires minimal IT involvement from the school and is less restricted by poor computing provision that can be common in UK state schools. We
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and oral communication skills Proficiency in data analysis tools (e.g., R, Stata, Python, NVivo, GIS) Experience with interdisciplinary or community-based research is a plus How to apply: Interested