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with attention to quality, integrity, creativity, and cooperation. You are fluent in Python, machine learning, and deep-learning tools (e.g., TensorFlow, PyTorch). You can speak and write fluently in
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Python or R, and experience in the Linux environment Experience with large-scale data analysis, such as genomics or transcriptomics data Experience with a workflow management system such as Snakemake
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. You are fluent in Python, machine learning, and deep-learning tools (e.g., TensorFlow, PyTorch). You can speak and write fluently in English. A background in hydroclimate extreme event analysis is
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explanations tailored to diverse user profiles. Programming skills in Python, JavaScript, or web frameworks (e.g., React, D3.js, Plotly) for building interactive explainability interfaces. Motivation
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background in AI/ML, preferably with hands-on experience in deep generative models (e.g., VAEs, GANs, diffusion models, transformers). Solid programming skills in Python, including familiarity with TensorFlow
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an experienced user of statistical software (such as SAS, JMP, SPSS, Stata, Matlab, Python, R or other statistical software). You are a creative and enthusiastic instructor, willing to take initiative. You are
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, creativity and cooperation. You are an experienced user of statistical software (such as SAS, JMP, SPSS, Stata, Matlab, Python, R or other statistical software). You are a creative and enthusiastic instructor
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, classification, and topic modeling). You are comfortable with programming and analysis in R, including tidyverse, reticulate, tidymodels, etc. You are comfortable programming in Python and working with relevant
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). You are proficient in at least one statistical or programming language relevant to social science research (e.g., R, STATA, or Python). Having experience with psychophysiological measurements of affect
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Physics. You also have programming experience (Python, ...). You are preferably familiar with the Linux operating system and DFT codes such as VASP, ABINIT, etc. Experience with the use of a high