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skills in quantitative methods, statistics, and project management. Experience in dietary decision-making, eating disorders, or addiction/craving is considered a bonus. Additional comments -- Website
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Laboratory's activities cover a wide range of fields, from statistical physics to hydrodynamic turbulence, including mathematical physics and signal processing, as well as soft and condensed matter
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of statistics. - Solid programming skills in Python and in scientific computing (PyTorch, scikit-learn, numpy, etc). - Familiarity with GNU/Linux. - Problem solving skills. - Good communication and teamwork
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, library preparation, cell culture, and imaging - Proficiency in computer languages (bash, python, awk, R) - NGS/omics data analysis - Proficiency in statistics for high-throughput data analysis - Generation
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to carry out the following tasks: Development of analysis scripts for the preprocessing and automated processing of functional neuroimaging data; Statistical modeling of imaging data and evaluation
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that incorporates a broad range of neutrino and dark-matter models, assessing their effects on large-scale-structure (LSS) statistics as measured by the power spectrum and bispectrum of galaxies or intensity maps
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, statistics, quantitative/qualitative analysis. - Appetite for educational AI, LLMs, or data analysis (advanced skills not required but appreciated). Cross-functional skills - Interdisciplinary teamwork
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biology We expect a candidate with a strong background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and
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research experience in music cognition, psycholinguistics, or ideally both, and a strong background in experimental design and statistical analysis. We are searching for someone highly motivated, interested
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integrating a wide range of neutrino and dark matter models, and aiming to evaluate their effects on large-scale structure statistics (LSS), as measured by the power spectrum and bispectrum of galaxies