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. The candidate is expected to have a solid grounding in programming in R, Python, and mathematics/statistics. The main duties involved in a post-doctoral position is to conduct research. Teaching may
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ability to comfortable processing these data using tools like Seurat, Scanpy, or QuPath. Proficiency in Python or R, coupled with familiarity with machinelearning frameworks (e.g., scikit‑learn, PyTorch
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R&D&I projects, while RAI was also participating in the DARPA SUB-T challenge with the CoSTAR Team lead by NASA/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial
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in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic pipelines in Python and R. Perform experiments in cell culture and animal models to validate the findings
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working knowledge analyzing forests, for example ecosystem growth rates, or population genetic structure. The post doc must be well versed in data analysis in R, including univariate and multivariate
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fluid dynamics and vascular modeling in microenvironments Skills in data analysis and image processing (e.g., Python, R, ImageJ) Ability to mentor junior researchers and contribute to team leadership What
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disciplines, including biomathematics, biostatistics, and molecular biology. The candidate is expected to have a solid grounding in programming in R, Python, and mathematics/statistics.The main duties involved
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management skills using statistical software (e.g., SAS, R or Python) Experience in writing and publishing scientific articles in epidemiology, psychiatry, or related topics Good communication skills in
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fundamental research in robotics autonomy with a strong European and National participation in multiple R&D&I projects. RAI has participated in the DARPA SUB-T challenge with the CoSTAR Team lead by NASA/JPL
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and programming experience (e.g. R, Python) are required. Experience with psychophysiological methods, such as eye tracking and skin conductance, is advantageous. Excellent academic merits, including