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or Python (data management, statistical modelling, visualisation, and reproducible workflows). Excellent English (written and spoken); Spanish and/or Catalan are an asset, and additional European languages
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: Experience materials design and materials selection Experience in chemical reaction development Expertise in complementary methods such as ICP-MS, XRD, XPS, SEM, TEM, EDX Scripting in Matlab, Python
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mechanical/electrical/biomedical/human factors engineering or a related discipline Strong programming skills (e.g., Python, R) Experience with data processing and analysis Knowledge of statistics, or a strong
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engineering, or another related field Strong knowledge of Machine Learning theory and methods, and related Deep Learning approaches Excellent knowledge of programming in Python and scientific libraries used
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in one of these areas. Alternatively, you have gained essentially corresponding knowledge in another way. Experience with programming (e.g., Python, MATLAB, C/C++ or similar) and an interest in
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LIST? Check our website: https://www.list.lu/ How will you contribute? The Post-Doc researcher will develop, implement, and apply advanced ways in inverting a radiative transfer model for forest trait
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | about 1 month ago
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willing to receive assistance and coaching when needed from the faculty lead. Prior experience in a diverse higher education institution preferred. Knowledge of Python and/or R programming languages is
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expertise in NGS data analysis (WES, RNA-seq). - Experience with R and/or Python for statistical and bioinformatic analyses. - Experience in integrative multi-omics analysis. - Knowledge of biostatistics and
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 9 days ago
programming skills and background in AI; Proficiency in R and/or Python, especially regarding the use of libraries specific to bioinformatic analysis (e.g., DESeq2/pyDESEQ2, clusterProfiler/GSEApy, Seurat