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experimental workflows Specific Requirements Experience in Python or similar tools for data analysis, visualization, and automation would be an advantage, especially for handling large experimental datasets and
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quantitative discipline. You will have experience analysing complex, high-dimensional datasets and applying quantitative or computational methods, together with strong programming skills in Python or a
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software that allow time-evolving models of complex systems to be calibrated against sparse, indirect, and uncertain observations. The group develops and maintains an open-source Python framework
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of statistical and quantitative methods for analyzing complex, highdimensional datasets Good understanding of biochemical principles, including mass spectrometry Good programming skills (Python and/or R) Strong
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magnetic resonance imaging (MRI), such as arterial spin labeling and diffusion tractography using programming scripts, such as Python and C++ Self-driven, motivated, and creative in designing image analysis
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experience using statistical software such as R, Stata or Python, together with the ability to manage and analyse complex datasets and contribute to scientific publications and presentations. You will also
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Proficiency in scientific computing using R, Python, or a comparable language, including experience developing reproducible analytical workflows, as demonstrated by presentations, publications, and/or
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-reviewed journals. Attend conferences to disseminate the ideas. Share the Python codes in a well-maintained GitHub repository for public use. Make R or Python package for widespread use of the methods. May
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are no longer practical. This project aims to automate anomaly detection (identifying missing, stuck, and suspicious data) at high temporal resolution (five-minute intervals) by combining Python-based rule-based
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analysis. Excellent programming skills in Python and experience with deep-learning frameworks (preferably PyTorch). Experience developing, training, validating, and optimising machine-learning models